Have a language expert improve your writing

Run a free plagiarism check in 10 minutes, generate accurate citations for free.

  • Knowledge Base

Methodology

  • What Is a Case Study? | Definition, Examples & Methods

What Is a Case Study? | Definition, Examples & Methods

Published on May 8, 2019 by Shona McCombes . Revised on November 20, 2023.

A case study is a detailed study of a specific subject, such as a person, group, place, event, organization, or phenomenon. Case studies are commonly used in social, educational, clinical, and business research.

A case study research design usually involves qualitative methods , but quantitative methods are sometimes also used. Case studies are good for describing , comparing, evaluating and understanding different aspects of a research problem .

Table of contents

When to do a case study, step 1: select a case, step 2: build a theoretical framework, step 3: collect your data, step 4: describe and analyze the case, other interesting articles.

A case study is an appropriate research design when you want to gain concrete, contextual, in-depth knowledge about a specific real-world subject. It allows you to explore the key characteristics, meanings, and implications of the case.

Case studies are often a good choice in a thesis or dissertation . They keep your project focused and manageable when you don’t have the time or resources to do large-scale research.

You might use just one complex case study where you explore a single subject in depth, or conduct multiple case studies to compare and illuminate different aspects of your research problem.

Prevent plagiarism. Run a free check.

Once you have developed your problem statement and research questions , you should be ready to choose the specific case that you want to focus on. A good case study should have the potential to:

  • Provide new or unexpected insights into the subject
  • Challenge or complicate existing assumptions and theories
  • Propose practical courses of action to resolve a problem
  • Open up new directions for future research

TipIf your research is more practical in nature and aims to simultaneously investigate an issue as you solve it, consider conducting action research instead.

Unlike quantitative or experimental research , a strong case study does not require a random or representative sample. In fact, case studies often deliberately focus on unusual, neglected, or outlying cases which may shed new light on the research problem.

Example of an outlying case studyIn the 1960s the town of Roseto, Pennsylvania was discovered to have extremely low rates of heart disease compared to the US average. It became an important case study for understanding previously neglected causes of heart disease.

However, you can also choose a more common or representative case to exemplify a particular category, experience or phenomenon.

Example of a representative case studyIn the 1920s, two sociologists used Muncie, Indiana as a case study of a typical American city that supposedly exemplified the changing culture of the US at the time.

While case studies focus more on concrete details than general theories, they should usually have some connection with theory in the field. This way the case study is not just an isolated description, but is integrated into existing knowledge about the topic. It might aim to:

  • Exemplify a theory by showing how it explains the case under investigation
  • Expand on a theory by uncovering new concepts and ideas that need to be incorporated
  • Challenge a theory by exploring an outlier case that doesn’t fit with established assumptions

To ensure that your analysis of the case has a solid academic grounding, you should conduct a literature review of sources related to the topic and develop a theoretical framework . This means identifying key concepts and theories to guide your analysis and interpretation.

There are many different research methods you can use to collect data on your subject. Case studies tend to focus on qualitative data using methods such as interviews , observations , and analysis of primary and secondary sources (e.g., newspaper articles, photographs, official records). Sometimes a case study will also collect quantitative data.

Example of a mixed methods case studyFor a case study of a wind farm development in a rural area, you could collect quantitative data on employment rates and business revenue, collect qualitative data on local people’s perceptions and experiences, and analyze local and national media coverage of the development.

The aim is to gain as thorough an understanding as possible of the case and its context.

Receive feedback on language, structure, and formatting

Professional editors proofread and edit your paper by focusing on:

  • Academic style
  • Vague sentences
  • Style consistency

See an example

case study method work

In writing up the case study, you need to bring together all the relevant aspects to give as complete a picture as possible of the subject.

How you report your findings depends on the type of research you are doing. Some case studies are structured like a standard scientific paper or thesis , with separate sections or chapters for the methods , results and discussion .

Others are written in a more narrative style, aiming to explore the case from various angles and analyze its meanings and implications (for example, by using textual analysis or discourse analysis ).

In all cases, though, make sure to give contextual details about the case, connect it back to the literature and theory, and discuss how it fits into wider patterns or debates.

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

  • Normal distribution
  • Degrees of freedom
  • Null hypothesis
  • Discourse analysis
  • Control groups
  • Mixed methods research
  • Non-probability sampling
  • Quantitative research
  • Ecological validity

Research bias

  • Rosenthal effect
  • Implicit bias
  • Cognitive bias
  • Selection bias
  • Negativity bias
  • Status quo bias

Cite this Scribbr article

If you want to cite this source, you can copy and paste the citation or click the “Cite this Scribbr article” button to automatically add the citation to our free Citation Generator.

McCombes, S. (2023, November 20). What Is a Case Study? | Definition, Examples & Methods. Scribbr. Retrieved February 22, 2024, from https://www.scribbr.com/methodology/case-study/

Is this article helpful?

Shona McCombes

Shona McCombes

Other students also liked, primary vs. secondary sources | difference & examples, what is a theoretical framework | guide to organizing, what is action research | definition & examples, what is your plagiarism score.

  • Privacy Policy
  • SignUp/Login

Research Method

Home » Case Study – Methods, Examples and Guide

Case Study – Methods, Examples and Guide

Table of Contents

Case Study Research

A case study is a research method that involves an in-depth examination and analysis of a particular phenomenon or case, such as an individual, organization, community, event, or situation.

It is a qualitative research approach that aims to provide a detailed and comprehensive understanding of the case being studied. Case studies typically involve multiple sources of data, including interviews, observations, documents, and artifacts, which are analyzed using various techniques, such as content analysis, thematic analysis, and grounded theory. The findings of a case study are often used to develop theories, inform policy or practice, or generate new research questions.

Types of Case Study

Types and Methods of Case Study are as follows:

Single-Case Study

A single-case study is an in-depth analysis of a single case. This type of case study is useful when the researcher wants to understand a specific phenomenon in detail.

For Example , A researcher might conduct a single-case study on a particular individual to understand their experiences with a particular health condition or a specific organization to explore their management practices. The researcher collects data from multiple sources, such as interviews, observations, and documents, and uses various techniques to analyze the data, such as content analysis or thematic analysis. The findings of a single-case study are often used to generate new research questions, develop theories, or inform policy or practice.

Multiple-Case Study

A multiple-case study involves the analysis of several cases that are similar in nature. This type of case study is useful when the researcher wants to identify similarities and differences between the cases.

For Example, a researcher might conduct a multiple-case study on several companies to explore the factors that contribute to their success or failure. The researcher collects data from each case, compares and contrasts the findings, and uses various techniques to analyze the data, such as comparative analysis or pattern-matching. The findings of a multiple-case study can be used to develop theories, inform policy or practice, or generate new research questions.

Exploratory Case Study

An exploratory case study is used to explore a new or understudied phenomenon. This type of case study is useful when the researcher wants to generate hypotheses or theories about the phenomenon.

For Example, a researcher might conduct an exploratory case study on a new technology to understand its potential impact on society. The researcher collects data from multiple sources, such as interviews, observations, and documents, and uses various techniques to analyze the data, such as grounded theory or content analysis. The findings of an exploratory case study can be used to generate new research questions, develop theories, or inform policy or practice.

Descriptive Case Study

A descriptive case study is used to describe a particular phenomenon in detail. This type of case study is useful when the researcher wants to provide a comprehensive account of the phenomenon.

For Example, a researcher might conduct a descriptive case study on a particular community to understand its social and economic characteristics. The researcher collects data from multiple sources, such as interviews, observations, and documents, and uses various techniques to analyze the data, such as content analysis or thematic analysis. The findings of a descriptive case study can be used to inform policy or practice or generate new research questions.

Instrumental Case Study

An instrumental case study is used to understand a particular phenomenon that is instrumental in achieving a particular goal. This type of case study is useful when the researcher wants to understand the role of the phenomenon in achieving the goal.

For Example, a researcher might conduct an instrumental case study on a particular policy to understand its impact on achieving a particular goal, such as reducing poverty. The researcher collects data from multiple sources, such as interviews, observations, and documents, and uses various techniques to analyze the data, such as content analysis or thematic analysis. The findings of an instrumental case study can be used to inform policy or practice or generate new research questions.

Case Study Data Collection Methods

Here are some common data collection methods for case studies:

Interviews involve asking questions to individuals who have knowledge or experience relevant to the case study. Interviews can be structured (where the same questions are asked to all participants) or unstructured (where the interviewer follows up on the responses with further questions). Interviews can be conducted in person, over the phone, or through video conferencing.

Observations

Observations involve watching and recording the behavior and activities of individuals or groups relevant to the case study. Observations can be participant (where the researcher actively participates in the activities) or non-participant (where the researcher observes from a distance). Observations can be recorded using notes, audio or video recordings, or photographs.

Documents can be used as a source of information for case studies. Documents can include reports, memos, emails, letters, and other written materials related to the case study. Documents can be collected from the case study participants or from public sources.

Surveys involve asking a set of questions to a sample of individuals relevant to the case study. Surveys can be administered in person, over the phone, through mail or email, or online. Surveys can be used to gather information on attitudes, opinions, or behaviors related to the case study.

Artifacts are physical objects relevant to the case study. Artifacts can include tools, equipment, products, or other objects that provide insights into the case study phenomenon.

How to conduct Case Study Research

Conducting a case study research involves several steps that need to be followed to ensure the quality and rigor of the study. Here are the steps to conduct case study research:

  • Define the research questions: The first step in conducting a case study research is to define the research questions. The research questions should be specific, measurable, and relevant to the case study phenomenon under investigation.
  • Select the case: The next step is to select the case or cases to be studied. The case should be relevant to the research questions and should provide rich and diverse data that can be used to answer the research questions.
  • Collect data: Data can be collected using various methods, such as interviews, observations, documents, surveys, and artifacts. The data collection method should be selected based on the research questions and the nature of the case study phenomenon.
  • Analyze the data: The data collected from the case study should be analyzed using various techniques, such as content analysis, thematic analysis, or grounded theory. The analysis should be guided by the research questions and should aim to provide insights and conclusions relevant to the research questions.
  • Draw conclusions: The conclusions drawn from the case study should be based on the data analysis and should be relevant to the research questions. The conclusions should be supported by evidence and should be clearly stated.
  • Validate the findings: The findings of the case study should be validated by reviewing the data and the analysis with participants or other experts in the field. This helps to ensure the validity and reliability of the findings.
  • Write the report: The final step is to write the report of the case study research. The report should provide a clear description of the case study phenomenon, the research questions, the data collection methods, the data analysis, the findings, and the conclusions. The report should be written in a clear and concise manner and should follow the guidelines for academic writing.

Examples of Case Study

Here are some examples of case study research:

  • The Hawthorne Studies : Conducted between 1924 and 1932, the Hawthorne Studies were a series of case studies conducted by Elton Mayo and his colleagues to examine the impact of work environment on employee productivity. The studies were conducted at the Hawthorne Works plant of the Western Electric Company in Chicago and included interviews, observations, and experiments.
  • The Stanford Prison Experiment: Conducted in 1971, the Stanford Prison Experiment was a case study conducted by Philip Zimbardo to examine the psychological effects of power and authority. The study involved simulating a prison environment and assigning participants to the role of guards or prisoners. The study was controversial due to the ethical issues it raised.
  • The Challenger Disaster: The Challenger Disaster was a case study conducted to examine the causes of the Space Shuttle Challenger explosion in 1986. The study included interviews, observations, and analysis of data to identify the technical, organizational, and cultural factors that contributed to the disaster.
  • The Enron Scandal: The Enron Scandal was a case study conducted to examine the causes of the Enron Corporation’s bankruptcy in 2001. The study included interviews, analysis of financial data, and review of documents to identify the accounting practices, corporate culture, and ethical issues that led to the company’s downfall.
  • The Fukushima Nuclear Disaster : The Fukushima Nuclear Disaster was a case study conducted to examine the causes of the nuclear accident that occurred at the Fukushima Daiichi Nuclear Power Plant in Japan in 2011. The study included interviews, analysis of data, and review of documents to identify the technical, organizational, and cultural factors that contributed to the disaster.

Application of Case Study

Case studies have a wide range of applications across various fields and industries. Here are some examples:

Business and Management

Case studies are widely used in business and management to examine real-life situations and develop problem-solving skills. Case studies can help students and professionals to develop a deep understanding of business concepts, theories, and best practices.

Case studies are used in healthcare to examine patient care, treatment options, and outcomes. Case studies can help healthcare professionals to develop critical thinking skills, diagnose complex medical conditions, and develop effective treatment plans.

Case studies are used in education to examine teaching and learning practices. Case studies can help educators to develop effective teaching strategies, evaluate student progress, and identify areas for improvement.

Social Sciences

Case studies are widely used in social sciences to examine human behavior, social phenomena, and cultural practices. Case studies can help researchers to develop theories, test hypotheses, and gain insights into complex social issues.

Law and Ethics

Case studies are used in law and ethics to examine legal and ethical dilemmas. Case studies can help lawyers, policymakers, and ethical professionals to develop critical thinking skills, analyze complex cases, and make informed decisions.

Purpose of Case Study

The purpose of a case study is to provide a detailed analysis of a specific phenomenon, issue, or problem in its real-life context. A case study is a qualitative research method that involves the in-depth exploration and analysis of a particular case, which can be an individual, group, organization, event, or community.

The primary purpose of a case study is to generate a comprehensive and nuanced understanding of the case, including its history, context, and dynamics. Case studies can help researchers to identify and examine the underlying factors, processes, and mechanisms that contribute to the case and its outcomes. This can help to develop a more accurate and detailed understanding of the case, which can inform future research, practice, or policy.

Case studies can also serve other purposes, including:

  • Illustrating a theory or concept: Case studies can be used to illustrate and explain theoretical concepts and frameworks, providing concrete examples of how they can be applied in real-life situations.
  • Developing hypotheses: Case studies can help to generate hypotheses about the causal relationships between different factors and outcomes, which can be tested through further research.
  • Providing insight into complex issues: Case studies can provide insights into complex and multifaceted issues, which may be difficult to understand through other research methods.
  • Informing practice or policy: Case studies can be used to inform practice or policy by identifying best practices, lessons learned, or areas for improvement.

Advantages of Case Study Research

There are several advantages of case study research, including:

  • In-depth exploration: Case study research allows for a detailed exploration and analysis of a specific phenomenon, issue, or problem in its real-life context. This can provide a comprehensive understanding of the case and its dynamics, which may not be possible through other research methods.
  • Rich data: Case study research can generate rich and detailed data, including qualitative data such as interviews, observations, and documents. This can provide a nuanced understanding of the case and its complexity.
  • Holistic perspective: Case study research allows for a holistic perspective of the case, taking into account the various factors, processes, and mechanisms that contribute to the case and its outcomes. This can help to develop a more accurate and comprehensive understanding of the case.
  • Theory development: Case study research can help to develop and refine theories and concepts by providing empirical evidence and concrete examples of how they can be applied in real-life situations.
  • Practical application: Case study research can inform practice or policy by identifying best practices, lessons learned, or areas for improvement.
  • Contextualization: Case study research takes into account the specific context in which the case is situated, which can help to understand how the case is influenced by the social, cultural, and historical factors of its environment.

Limitations of Case Study Research

There are several limitations of case study research, including:

  • Limited generalizability : Case studies are typically focused on a single case or a small number of cases, which limits the generalizability of the findings. The unique characteristics of the case may not be applicable to other contexts or populations, which may limit the external validity of the research.
  • Biased sampling: Case studies may rely on purposive or convenience sampling, which can introduce bias into the sample selection process. This may limit the representativeness of the sample and the generalizability of the findings.
  • Subjectivity: Case studies rely on the interpretation of the researcher, which can introduce subjectivity into the analysis. The researcher’s own biases, assumptions, and perspectives may influence the findings, which may limit the objectivity of the research.
  • Limited control: Case studies are typically conducted in naturalistic settings, which limits the control that the researcher has over the environment and the variables being studied. This may limit the ability to establish causal relationships between variables.
  • Time-consuming: Case studies can be time-consuming to conduct, as they typically involve a detailed exploration and analysis of a specific case. This may limit the feasibility of conducting multiple case studies or conducting case studies in a timely manner.
  • Resource-intensive: Case studies may require significant resources, including time, funding, and expertise. This may limit the ability of researchers to conduct case studies in resource-constrained settings.

About the author

' src=

Muhammad Hassan

Researcher, Academic Writer, Web developer

You may also like

Qualitative Research

Qualitative Research – Methods, Analysis Types...

Descriptive Research Design

Descriptive Research Design – Types, Methods and...

Qualitative Research Methods

Qualitative Research Methods

Basic Research

Basic Research – Types, Methods and Examples

Exploratory Research

Exploratory Research – Types, Methods and...

One-to-One Interview in Research

One-to-One Interview – Methods and Guide

Cart

  • SUGGESTED TOPICS
  • The Magazine
  • Newsletters
  • Managing Yourself
  • Managing Teams
  • Work-life Balance
  • The Big Idea
  • Data & Visuals
  • Reading Lists
  • Case Selections
  • HBR Learning
  • Topic Feeds
  • Account Settings
  • Email Preferences

What the Case Study Method Really Teaches

  • Nitin Nohria

case study method work

Seven meta-skills that stick even if the cases fade from memory.

It’s been 100 years since Harvard Business School began using the case study method. Beyond teaching specific subject matter, the case study method excels in instilling meta-skills in students. This article explains the importance of seven such skills: preparation, discernment, bias recognition, judgement, collaboration, curiosity, and self-confidence.

During my decade as dean of Harvard Business School, I spent hundreds of hours talking with our alumni. To enliven these conversations, I relied on a favorite question: “What was the most important thing you learned from your time in our MBA program?”

  • Nitin Nohria is the George F. Baker Jr. Professor at Harvard Business School and the former dean of HBS.

Partner Center

  • Affiliate Program

Wordvice

  • UNITED STATES
  • 台灣 (TAIWAN)
  • TÜRKIYE (TURKEY)
  • Academic Editing Services
  • - Research Paper
  • - Journal Manuscript
  • - Dissertation
  • - College & University Assignments
  • Admissions Editing Services
  • - Application Essay
  • - Personal Statement
  • - Recommendation Letter
  • - Cover Letter
  • - CV/Resume
  • Business Editing Services
  • - Business Documents
  • - Report & Brochure
  • - Website & Blog
  • Writer Editing Services
  • - Script & Screenplay
  • Our Editors
  • Client Reviews
  • Editing & Proofreading Prices
  • Wordvice Points
  • Partner Discount
  • Plagiarism Checker
  • APA Citation Generator
  • MLA Citation Generator
  • Chicago Citation Generator
  • Vancouver Citation Generator
  • - APA Style
  • - MLA Style
  • - Chicago Style
  • - Vancouver Style
  • Writing & Editing Guide
  • Academic Resources
  • Admissions Resources

How to Write a Case Study | Examples & Methods

case study method work

What is a case study?

A case study is a research approach that provides an in-depth examination of a particular phenomenon, event, organization, or individual. It involves analyzing and interpreting data to provide a comprehensive understanding of the subject under investigation. 

Case studies can be used in various disciplines, including business, social sciences, medicine ( clinical case report ), engineering, and education. The aim of a case study is to provide an in-depth exploration of a specific subject, often with the goal of generating new insights into the phenomena being studied.

When to write a case study

Case studies are often written to present the findings of an empirical investigation or to illustrate a particular point or theory. They are useful when researchers want to gain an in-depth understanding of a specific phenomenon or when they are interested in exploring new areas of inquiry. 

Case studies are also useful when the subject of the research is rare or when the research question is complex and requires an in-depth examination. A case study can be a good fit for a thesis or dissertation as well.

Case study examples

Below are some examples of case studies with their research questions:

These examples demonstrate the diversity of research questions and case studies that can be explored. From studying small businesses in Ghana to the ethical issues in supply chains, case studies can be used to explore a wide range of phenomena.

Outlying cases vs. representative cases

An outlying case stud y refers to a case that is unusual or deviates significantly from the norm. An example of an outlying case study could be a small, family-run bed and breakfast that was able to survive and even thrive during the COVID-19 pandemic, while other larger hotels struggled to stay afloat.

On the other hand, a representative case study refers to a case that is typical of the phenomenon being studied. An example of a representative case study could be a hotel chain that operates in multiple locations that faced significant challenges during the COVID-19 pandemic, such as reduced demand for hotel rooms, increased safety and health protocols, and supply chain disruptions. The hotel chain case could be representative of the broader hospitality industry during the pandemic, and thus provides an insight into the typical challenges that businesses in the industry faced.

Steps for Writing a Case Study

As with any academic paper, writing a case study requires careful preparation and research before a single word of the document is ever written. Follow these basic steps to ensure that you don’t miss any crucial details when composing your case study.

Step 1: Select a case to analyze

After you have developed your statement of the problem and research question , the first step in writing a case study is to select a case that is representative of the phenomenon being investigated or that provides an outlier. For example, if a researcher wants to explore the impact of COVID-19 on the hospitality industry, they could select a representative case, such as a hotel chain that operates in multiple locations, or an outlying case, such as a small bed and breakfast that was able to pivot their business model to survive during the pandemic. Selecting the appropriate case is critical in ensuring the research question is adequately explored.

Step 2: Create a theoretical framework

Theoretical frameworks are used to guide the analysis and interpretation of data in a case study. The framework should provide a clear explanation of the key concepts, variables, and relationships that are relevant to the research question. The theoretical framework can be drawn from existing literature, or the researcher can develop their own framework based on the data collected. The theoretical framework should be developed early in the research process to guide the data collection and analysis.

To give your case analysis a strong theoretical grounding, be sure to include a literature review of references and sources relating to your topic and develop a clear theoretical framework. Your case study does not simply stand on its own but interacts with other studies related to your topic. Your case study can do one of the following: 

  • Demonstrate a theory by showing how it explains the case being investigated
  • Broaden a theory by identifying additional concepts and ideas that can be incorporated to strengthen it
  • Confront a theory via an outlier case that does not conform to established conclusions or assumptions

Step 3: Collect data for your case study

Data collection can involve a variety of research methods , including interviews, surveys, observations, and document analyses, and it can include both primary and secondary sources . It is essential to ensure that the data collected is relevant to the research question and that it is collected in a systematic and ethical manner. Data collection methods should be chosen based on the research question and the availability of data. It is essential to plan data collection carefully to ensure that the data collected is of high quality

Step 4: Describe the case and analyze the details

The final step is to describe the case in detail and analyze the data collected. This involves identifying patterns and themes that emerge from the data and drawing conclusions that are relevant to the research question. It is essential to ensure that the analysis is supported by the data and that any limitations or alternative explanations are acknowledged.

The manner in which you report your findings depends on the type of research you are doing. Some case studies are structured like a standard academic paper, with separate sections or chapters for the methods section , results section , and discussion section , while others are structured more like a standalone literature review.

Regardless of the topic you choose to pursue, writing a case study requires a systematic and rigorous approach to data collection and analysis. By following the steps outlined above and using examples from existing literature, researchers can create a comprehensive and insightful case study that contributes to the understanding of a particular phenomenon.

Preparing Your Case Study for Publication

After completing the draft of your case study, be sure to revise and edit your work for any mistakes, including grammatical errors , punctuation errors , spelling mistakes, and awkward sentence structure . Ensure that your case study is well-structured and that your arguments are well-supported with language that follows the conventions of academic writing .  To ensure your work is polished for style and free of errors, get English editing services from Wordvice, including our paper editing services and manuscript editing services . Let our academic subject experts enhance the style and flow of your academic work so you can submit your case study with confidence.

Have a language expert improve your writing

Run a free plagiarism check in 10 minutes, automatically generate references for free.

  • Knowledge Base
  • Methodology
  • Case Study | Definition, Examples & Methods

Case Study | Definition, Examples & Methods

Published on 5 May 2022 by Shona McCombes . Revised on 30 January 2023.

A case study is a detailed study of a specific subject, such as a person, group, place, event, organisation, or phenomenon. Case studies are commonly used in social, educational, clinical, and business research.

A case study research design usually involves qualitative methods , but quantitative methods are sometimes also used. Case studies are good for describing , comparing, evaluating, and understanding different aspects of a research problem .

Table of contents

When to do a case study, step 1: select a case, step 2: build a theoretical framework, step 3: collect your data, step 4: describe and analyse the case.

A case study is an appropriate research design when you want to gain concrete, contextual, in-depth knowledge about a specific real-world subject. It allows you to explore the key characteristics, meanings, and implications of the case.

Case studies are often a good choice in a thesis or dissertation . They keep your project focused and manageable when you don’t have the time or resources to do large-scale research.

You might use just one complex case study where you explore a single subject in depth, or conduct multiple case studies to compare and illuminate different aspects of your research problem.

Prevent plagiarism, run a free check.

Once you have developed your problem statement and research questions , you should be ready to choose the specific case that you want to focus on. A good case study should have the potential to:

  • Provide new or unexpected insights into the subject
  • Challenge or complicate existing assumptions and theories
  • Propose practical courses of action to resolve a problem
  • Open up new directions for future research

Unlike quantitative or experimental research, a strong case study does not require a random or representative sample. In fact, case studies often deliberately focus on unusual, neglected, or outlying cases which may shed new light on the research problem.

If you find yourself aiming to simultaneously investigate and solve an issue, consider conducting action research . As its name suggests, action research conducts research and takes action at the same time, and is highly iterative and flexible. 

However, you can also choose a more common or representative case to exemplify a particular category, experience, or phenomenon.

While case studies focus more on concrete details than general theories, they should usually have some connection with theory in the field. This way the case study is not just an isolated description, but is integrated into existing knowledge about the topic. It might aim to:

  • Exemplify a theory by showing how it explains the case under investigation
  • Expand on a theory by uncovering new concepts and ideas that need to be incorporated
  • Challenge a theory by exploring an outlier case that doesn’t fit with established assumptions

To ensure that your analysis of the case has a solid academic grounding, you should conduct a literature review of sources related to the topic and develop a theoretical framework . This means identifying key concepts and theories to guide your analysis and interpretation.

There are many different research methods you can use to collect data on your subject. Case studies tend to focus on qualitative data using methods such as interviews, observations, and analysis of primary and secondary sources (e.g., newspaper articles, photographs, official records). Sometimes a case study will also collect quantitative data .

The aim is to gain as thorough an understanding as possible of the case and its context.

In writing up the case study, you need to bring together all the relevant aspects to give as complete a picture as possible of the subject.

How you report your findings depends on the type of research you are doing. Some case studies are structured like a standard scientific paper or thesis, with separate sections or chapters for the methods , results , and discussion .

Others are written in a more narrative style, aiming to explore the case from various angles and analyse its meanings and implications (for example, by using textual analysis or discourse analysis ).

In all cases, though, make sure to give contextual details about the case, connect it back to the literature and theory, and discuss how it fits into wider patterns or debates.

Cite this Scribbr article

If you want to cite this source, you can copy and paste the citation or click the ‘Cite this Scribbr article’ button to automatically add the citation to our free Reference Generator.

McCombes, S. (2023, January 30). Case Study | Definition, Examples & Methods. Scribbr. Retrieved 22 February 2024, from https://www.scribbr.co.uk/research-methods/case-studies/

Is this article helpful?

Shona McCombes

Shona McCombes

Other students also liked, correlational research | guide, design & examples, a quick guide to experimental design | 5 steps & examples, descriptive research design | definition, methods & examples.

  • Bipolar Disorder
  • Therapy Center
  • When To See a Therapist
  • Types of Therapy
  • Best Online Therapy
  • Best Couples Therapy
  • Best Family Therapy
  • Managing Stress
  • Sleep and Dreaming
  • Understanding Emotions
  • Self-Improvement
  • Healthy Relationships
  • Student Resources
  • Personality Types
  • Verywell Mind Insights
  • 2023 Verywell Mind 25
  • Mental Health in the Classroom
  • Editorial Process
  • Meet Our Review Board
  • Crisis Support

What Is a Case Study?

Weighing the pros and cons of this method of research

Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

case study method work

Cara Lustik is a fact-checker and copywriter.

case study method work

Verywell / Colleen Tighe

  • Pros and Cons

What Types of Case Studies Are Out There?

Where do you find data for a case study, how do i write a psychology case study.

A case study is an in-depth study of one person, group, or event. In a case study, nearly every aspect of the subject's life and history is analyzed to seek patterns and causes of behavior. Case studies can be used in many different fields, including psychology, medicine, education, anthropology, political science, and social work.

The point of a case study is to learn as much as possible about an individual or group so that the information can be generalized to many others. Unfortunately, case studies tend to be highly subjective, and it is sometimes difficult to generalize results to a larger population.

While case studies focus on a single individual or group, they follow a format similar to other types of psychology writing. If you are writing a case study, we got you—here are some rules of APA format to reference.  

At a Glance

A case study, or an in-depth study of a person, group, or event, can be a useful research tool when used wisely. In many cases, case studies are best used in situations where it would be difficult or impossible for you to conduct an experiment. They are helpful for looking at unique situations and allow researchers to gather a lot of˜ information about a specific individual or group of people. However, it's important to be cautious of any bias we draw from them as they are highly subjective.

What Are the Benefits and Limitations of Case Studies?

A case study can have its strengths and weaknesses. Researchers must consider these pros and cons before deciding if this type of study is appropriate for their needs.

One of the greatest advantages of a case study is that it allows researchers to investigate things that are often difficult or impossible to replicate in a lab. Some other benefits of a case study:

  • Allows researchers to capture information on the 'how,' 'what,' and 'why,' of something that's implemented
  • Gives researchers the chance to collect information on why one strategy might be chosen over another
  • Permits researchers to develop hypotheses that can be explored in experimental research

On the other hand, a case study can have some drawbacks:

  • It cannot necessarily be generalized to the larger population
  • Cannot demonstrate cause and effect
  • It may not be scientifically rigorous
  • It can lead to bias

Researchers may choose to perform a case study if they want to explore a unique or recently discovered phenomenon. Through their insights, researchers develop additional ideas and study questions that might be explored in future studies.

It's important to remember that the insights from case studies cannot be used to determine cause-and-effect relationships between variables. However, case studies may be used to develop hypotheses that can then be addressed in experimental research.

Case Study Examples

There have been a number of notable case studies in the history of psychology. Much of  Freud's work and theories were developed through individual case studies. Some great examples of case studies in psychology include:

  • Anna O : Anna O. was a pseudonym of a woman named Bertha Pappenheim, a patient of a physician named Josef Breuer. While she was never a patient of Freud's, Freud and Breuer discussed her case extensively. The woman was experiencing symptoms of a condition that was then known as hysteria and found that talking about her problems helped relieve her symptoms. Her case played an important part in the development of talk therapy as an approach to mental health treatment.
  • Phineas Gage : Phineas Gage was a railroad employee who experienced a terrible accident in which an explosion sent a metal rod through his skull, damaging important portions of his brain. Gage recovered from his accident but was left with serious changes in both personality and behavior.
  • Genie : Genie was a young girl subjected to horrific abuse and isolation. The case study of Genie allowed researchers to study whether language learning was possible, even after missing critical periods for language development. Her case also served as an example of how scientific research may interfere with treatment and lead to further abuse of vulnerable individuals.

Such cases demonstrate how case research can be used to study things that researchers could not replicate in experimental settings. In Genie's case, her horrific abuse denied her the opportunity to learn a language at critical points in her development.

This is clearly not something researchers could ethically replicate, but conducting a case study on Genie allowed researchers to study phenomena that are otherwise impossible to reproduce.

There are a few different types of case studies that psychologists and other researchers might use:

  • Collective case studies : These involve studying a group of individuals. Researchers might study a group of people in a certain setting or look at an entire community. For example, psychologists might explore how access to resources in a community has affected the collective mental well-being of those who live there.
  • Descriptive case studies : These involve starting with a descriptive theory. The subjects are then observed, and the information gathered is compared to the pre-existing theory.
  • Explanatory case studies : These   are often used to do causal investigations. In other words, researchers are interested in looking at factors that may have caused certain things to occur.
  • Exploratory case studies : These are sometimes used as a prelude to further, more in-depth research. This allows researchers to gather more information before developing their research questions and hypotheses .
  • Instrumental case studies : These occur when the individual or group allows researchers to understand more than what is initially obvious to observers.
  • Intrinsic case studies : This type of case study is when the researcher has a personal interest in the case. Jean Piaget's observations of his own children are good examples of how an intrinsic case study can contribute to the development of a psychological theory.

The three main case study types often used are intrinsic, instrumental, and collective. Intrinsic case studies are useful for learning about unique cases. Instrumental case studies help look at an individual to learn more about a broader issue. A collective case study can be useful for looking at several cases simultaneously.

The type of case study that psychology researchers use depends on the unique characteristics of the situation and the case itself.

There are a number of different sources and methods that researchers can use to gather information about an individual or group. Six major sources that have been identified by researchers are:

  • Archival records : Census records, survey records, and name lists are examples of archival records.
  • Direct observation : This strategy involves observing the subject, often in a natural setting . While an individual observer is sometimes used, it is more common to utilize a group of observers.
  • Documents : Letters, newspaper articles, administrative records, etc., are the types of documents often used as sources.
  • Interviews : Interviews are one of the most important methods for gathering information in case studies. An interview can involve structured survey questions or more open-ended questions.
  • Participant observation : When the researcher serves as a participant in events and observes the actions and outcomes, it is called participant observation.
  • Physical artifacts : Tools, objects, instruments, and other artifacts are often observed during a direct observation of the subject.

If you have been directed to write a case study for a psychology course, be sure to check with your instructor for any specific guidelines you need to follow. If you are writing your case study for a professional publication, check with the publisher for their specific guidelines for submitting a case study.

Here is a general outline of what should be included in a case study.

Section 1: A Case History

This section will have the following structure and content:

Background information : The first section of your paper will present your client's background. Include factors such as age, gender, work, health status, family mental health history, family and social relationships, drug and alcohol history, life difficulties, goals, and coping skills and weaknesses.

Description of the presenting problem : In the next section of your case study, you will describe the problem or symptoms that the client presented with.

Describe any physical, emotional, or sensory symptoms reported by the client. Thoughts, feelings, and perceptions related to the symptoms should also be noted. Any screening or diagnostic assessments that are used should also be described in detail and all scores reported.

Your diagnosis : Provide your diagnosis and give the appropriate Diagnostic and Statistical Manual code. Explain how you reached your diagnosis, how the client's symptoms fit the diagnostic criteria for the disorder(s), or any possible difficulties in reaching a diagnosis.

Section 2: Treatment Plan

This portion of the paper will address the chosen treatment for the condition. This might also include the theoretical basis for the chosen treatment or any other evidence that might exist to support why this approach was chosen.

  • Cognitive behavioral approach : Explain how a cognitive behavioral therapist would approach treatment. Offer background information on cognitive behavioral therapy and describe the treatment sessions, client response, and outcome of this type of treatment. Make note of any difficulties or successes encountered by your client during treatment.
  • Humanistic approach : Describe a humanistic approach that could be used to treat your client, such as client-centered therapy . Provide information on the type of treatment you chose, the client's reaction to the treatment, and the end result of this approach. Explain why the treatment was successful or unsuccessful.
  • Psychoanalytic approach : Describe how a psychoanalytic therapist would view the client's problem. Provide some background on the psychoanalytic approach and cite relevant references. Explain how psychoanalytic therapy would be used to treat the client, how the client would respond to therapy, and the effectiveness of this treatment approach.
  • Pharmacological approach : If treatment primarily involves the use of medications, explain which medications were used and why. Provide background on the effectiveness of these medications and how monotherapy may compare with an approach that combines medications with therapy or other treatments.

This section of a case study should also include information about the treatment goals, process, and outcomes.

When you are writing a case study, you should also include a section where you discuss the case study itself, including the strengths and limitiations of the study. You should note how the findings of your case study might support previous research. 

In your discussion section, you should also describe some of the implications of your case study. What ideas or findings might require further exploration? How might researchers go about exploring some of these questions in additional studies?

Need More Tips?

Here are a few additional pointers to keep in mind when formatting your case study:

  • Never refer to the subject of your case study as "the client." Instead, use their name or a pseudonym.
  • Read examples of case studies to gain an idea about the style and format.
  • Remember to use APA format when citing references .

Crowe S, Cresswell K, Robertson A, Huby G, Avery A, Sheikh A. The case study approach .  BMC Med Res Methodol . 2011;11:100.

Crowe S, Cresswell K, Robertson A, Huby G, Avery A, Sheikh A. The case study approach . BMC Med Res Methodol . 2011 Jun 27;11:100. doi:10.1186/1471-2288-11-100

Gagnon, Yves-Chantal.  The Case Study as Research Method: A Practical Handbook . Canada, Chicago Review Press Incorporated DBA Independent Pub Group, 2010.

Yin, Robert K. Case Study Research and Applications: Design and Methods . United States, SAGE Publications, 2017.

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

What is the Case Study Method?

Baker library peak and cupola

Overview Dropdown up

Overview dropdown down, celebrating 100 years of the case method at hbs.

The 2021-2022 academic year marks the 100-year anniversary of the introduction of the case method at Harvard Business School. Today, the HBS case method is employed in the HBS MBA program, in Executive Education programs, and in dozens of other business schools around the world. As Dean Srikant Datar's says, the case method has withstood the test of time.

Case Discussion Preparation Details Expand All Collapse All

In self-reflection in self-reflection dropdown down, in a small group setting in a small group setting dropdown down, in the classroom in the classroom dropdown down, beyond the classroom beyond the classroom dropdown down, how the case method creates value dropdown up, how the case method creates value dropdown down, in self-reflection, in a small group setting, in the classroom, beyond the classroom.

case study method work

How Cases Unfold In the Classroom

How cases unfold in the classroom dropdown up, how cases unfold in the classroom dropdown down, preparation guidelines expand all collapse all, read the professor's assignment or discussion questions read the professor's assignment or discussion questions dropdown down, read the first few paragraphs and then skim the case read the first few paragraphs and then skim the case dropdown down, reread the case, underline text, and make margin notes reread the case, underline text, and make margin notes dropdown down, note the key problems on a pad of paper and go through the case again note the key problems on a pad of paper and go through the case again dropdown down, how to prepare for case discussions dropdown up, how to prepare for case discussions dropdown down, read the professor's assignment or discussion questions, read the first few paragraphs and then skim the case, reread the case, underline text, and make margin notes, note the key problems on a pad of paper and go through the case again, case study best practices expand all collapse all, prepare prepare dropdown down, discuss discuss dropdown down, participate participate dropdown down, relate relate dropdown down, apply apply dropdown down, note note dropdown down, understand understand dropdown down, case study best practices dropdown up, case study best practices dropdown down, participate, what can i expect on the first day dropdown down.

Most programs begin with registration, followed by an opening session and a dinner. If your travel plans necessitate late arrival, please be sure to notify us so that alternate registration arrangements can be made for you. Please note the following about registration:

HBS campus programs – Registration takes place in the Chao Center.

India programs – Registration takes place outside the classroom.

Other off-campus programs – Registration takes place in the designated facility.

What happens in class if nobody talks? Dropdown down

Professors are here to push everyone to learn, but not to embarrass anyone. If the class is quiet, they'll often ask a participant with experience in the industry in which the case is set to speak first. This is done well in advance so that person can come to class prepared to share. Trust the process. The more open you are, the more willing you’ll be to engage, and the more alive the classroom will become.

Does everyone take part in "role-playing"? Dropdown down

Professors often encourage participants to take opposing sides and then debate the issues, often taking the perspective of the case protagonists or key decision makers in the case.

View Frequently Asked Questions

Subscribe to Our Emails

Case Studies

This guide examines case studies, a form of qualitative descriptive research that is used to look at individuals, a small group of participants, or a group as a whole. Researchers collect data about participants using participant and direct observations, interviews, protocols, tests, examinations of records, and collections of writing samples. Starting with a definition of the case study, the guide moves to a brief history of this research method. Using several well documented case studies, the guide then looks at applications and methods including data collection and analysis. A discussion of ways to handle validity, reliability, and generalizability follows, with special attention to case studies as they are applied to composition studies. Finally, this guide examines the strengths and weaknesses of case studies.

Definition and Overview

Case study refers to the collection and presentation of detailed information about a particular participant or small group, frequently including the accounts of subjects themselves. A form of qualitative descriptive research, the case study looks intensely at an individual or small participant pool, drawing conclusions only about that participant or group and only in that specific context. Researchers do not focus on the discovery of a universal, generalizable truth, nor do they typically look for cause-effect relationships; instead, emphasis is placed on exploration and description.

Case studies typically examine the interplay of all variables in order to provide as complete an understanding of an event or situation as possible. This type of comprehensive understanding is arrived at through a process known as thick description, which involves an in-depth description of the entity being evaluated, the circumstances under which it is used, the characteristics of the people involved in it, and the nature of the community in which it is located. Thick description also involves interpreting the meaning of demographic and descriptive data such as cultural norms and mores, community values, ingrained attitudes, and motives.

Unlike quantitative methods of research, like the survey, which focus on the questions of who, what, where, how much, and how many, and archival analysis, which often situates the participant in some form of historical context, case studies are the preferred strategy when how or why questions are asked. Likewise, they are the preferred method when the researcher has little control over the events, and when there is a contemporary focus within a real life context. In addition, unlike more specifically directed experiments, case studies require a problem that seeks a holistic understanding of the event or situation in question using inductive logic--reasoning from specific to more general terms.

In scholarly circles, case studies are frequently discussed within the context of qualitative research and naturalistic inquiry. Case studies are often referred to interchangeably with ethnography, field study, and participant observation. The underlying philosophical assumptions in the case are similar to these types of qualitative research because each takes place in a natural setting (such as a classroom, neighborhood, or private home), and strives for a more holistic interpretation of the event or situation under study.

Unlike more statistically-based studies which search for quantifiable data, the goal of a case study is to offer new variables and questions for further research. F.H. Giddings, a sociologist in the early part of the century, compares statistical methods to the case study on the basis that the former are concerned with the distribution of a particular trait, or a small number of traits, in a population, whereas the case study is concerned with the whole variety of traits to be found in a particular instance" (Hammersley 95).

Case studies are not a new form of research; naturalistic inquiry was the primary research tool until the development of the scientific method. The fields of sociology and anthropology are credited with the primary shaping of the concept as we know it today. However, case study research has drawn from a number of other areas as well: the clinical methods of doctors; the casework technique being developed by social workers; the methods of historians and anthropologists, plus the qualitative descriptions provided by quantitative researchers like LePlay; and, in the case of Robert Park, the techniques of newspaper reporters and novelists.

Park was an ex-newspaper reporter and editor who became very influential in developing sociological case studies at the University of Chicago in the 1920s. As a newspaper professional he coined the term "scientific" or "depth" reporting: the description of local events in a way that pointed to major social trends. Park viewed the sociologist as "merely a more accurate, responsible, and scientific reporter." Park stressed the variety and value of human experience. He believed that sociology sought to arrive at natural, but fluid, laws and generalizations in regard to human nature and society. These laws weren't static laws of the kind sought by many positivists and natural law theorists, but rather, they were laws of becoming--with a constant possibility of change. Park encouraged students to get out of the library, to quit looking at papers and books, and to view the constant experiment of human experience. He writes, "Go and sit in the lounges of the luxury hotels and on the doorsteps of the flophouses; sit on the Gold Coast settees and on the slum shakedowns; sit in the Orchestra Hall and in the Star and Garter Burlesque. In short, gentlemen [sic], go get the seats of your pants dirty in real research."

But over the years, case studies have drawn their share of criticism. In fact, the method had its detractors from the start. In the 1920s, the debate between pro-qualitative and pro-quantitative became quite heated. Case studies, when compared to statistics, were considered by many to be unscientific. From the 1930's on, the rise of positivism had a growing influence on quantitative methods in sociology. People wanted static, generalizable laws in science. The sociological positivists were looking for stable laws of social phenomena. They criticized case study research because it failed to provide evidence of inter subjective agreement. Also, they condemned it because of the few number of cases studied and that the under-standardized character of their descriptions made generalization impossible. By the 1950s, quantitative methods, in the form of survey research, had become the dominant sociological approach and case study had become a minority practice.

Educational Applications

The 1950's marked the dawning of a new era in case study research, namely that of the utilization of the case study as a teaching method. "Instituted at Harvard Business School in the 1950s as a primary method of teaching, cases have since been used in classrooms and lecture halls alike, either as part of a course of study or as the main focus of the course to which other teaching material is added" (Armisted 1984). The basic purpose of instituting the case method as a teaching strategy was "to transfer much of the responsibility for learning from the teacher on to the student, whose role, as a result, shifts away from passive absorption toward active construction" (Boehrer 1990). Through careful examination and discussion of various cases, "students learn to identify actual problems, to recognize key players and their agendas, and to become aware of those aspects of the situation that contribute to the problem" (Merseth 1991). In addition, students are encouraged to "generate their own analysis of the problems under consideration, to develop their own solutions, and to practically apply their own knowledge of theory to these problems" (Boyce 1993). Along the way, students also develop "the power to analyze and to master a tangled circumstance by identifying and delineating important factors; the ability to utilize ideas, to test them against facts, and to throw them into fresh combinations" (Merseth 1991).

In addition to the practical application and testing of scholarly knowledge, case discussions can also help students prepare for real-world problems, situations and crises by providing an approximation of various professional environments (i.e. classroom, board room, courtroom, or hospital). Thus, through the examination of specific cases, students are given the opportunity to work out their own professional issues through the trials, tribulations, experiences, and research findings of others. An obvious advantage to this mode of instruction is that it allows students the exposure to settings and contexts that they might not otherwise experience. For example, a student interested in studying the effects of poverty on minority secondary student's grade point averages and S.A.T. scores could access and analyze information from schools as geographically diverse as Los Angeles, New York City, Miami, and New Mexico without ever having to leave the classroom.

The case study method also incorporates the idea that students can learn from one another "by engaging with each other and with each other's ideas, by asserting something and then having it questioned, challenged and thrown back at them so that they can reflect on what they hear, and then refine what they say" (Boehrer 1990). In summary, students can direct their own learning by formulating questions and taking responsibility for the study.

Types and Design Concerns

Researchers use multiple methods and approaches to conduct case studies.

Types of Case Studies

Under the more generalized category of case study exist several subdivisions, each of which is custom selected for use depending upon the goals and/or objectives of the investigator. These types of case study include the following:

Illustrative Case Studies These are primarily descriptive studies. They typically utilize one or two instances of an event to show what a situation is like. Illustrative case studies serve primarily to make the unfamiliar familiar and to give readers a common language about the topic in question.

Exploratory (or pilot) Case Studies These are condensed case studies performed before implementing a large scale investigation. Their basic function is to help identify questions and select types of measurement prior to the main investigation. The primary pitfall of this type of study is that initial findings may seem convincing enough to be released prematurely as conclusions.

Cumulative Case Studies These serve to aggregate information from several sites collected at different times. The idea behind these studies is the collection of past studies will allow for greater generalization without additional cost or time being expended on new, possibly repetitive studies.

Critical Instance Case Studies These examine one or more sites for either the purpose of examining a situation of unique interest with little to no interest in generalizability, or to call into question or challenge a highly generalized or universal assertion. This method is useful for answering cause and effect questions.

Identifying a Theoretical Perspective

Much of the case study's design is inherently determined for researchers, depending on the field from which they are working. In composition studies, researchers are typically working from a qualitative, descriptive standpoint. In contrast, physicists will approach their research from a more quantitative perspective. Still, in designing the study, researchers need to make explicit the questions to be explored and the theoretical perspective from which they will approach the case. The three most commonly adopted theories are listed below:

Individual Theories These focus primarily on the individual development, cognitive behavior, personality, learning and disability, and interpersonal interactions of a particular subject.

Organizational Theories These focus on bureaucracies, institutions, organizational structure and functions, or excellence in organizational performance.

Social Theories These focus on urban development, group behavior, cultural institutions, or marketplace functions.

Two examples of case studies are used consistently throughout this chapter. The first, a study produced by Berkenkotter, Huckin, and Ackerman (1988), looks at a first year graduate student's initiation into an academic writing program. The study uses participant-observer and linguistic data collecting techniques to assess the student's knowledge of appropriate discourse conventions. Using the pseudonym Nate to refer to the subject, the study sought to illuminate the particular experience rather than to generalize about the experience of fledgling academic writers collectively.

For example, in Berkenkotter, Huckin, and Ackerman's (1988) study we are told that the researchers are interested in disciplinary communities. In the first paragraph, they ask what constitutes membership in a disciplinary community and how achieving membership might affect a writer's understanding and production of texts. In the third paragraph they state that researchers must negotiate their claims "within the context of his sub specialty's accepted knowledge and methodology." In the next paragraph they ask, "How is literacy acquired? What is the process through which novices gain community membership? And what factors either aid or hinder students learning the requisite linguistic behaviors?" This introductory section ends with a paragraph in which the study's authors claim that during the course of the study, the subject, Nate, successfully makes the transition from "skilled novice" to become an initiated member of the academic discourse community and that his texts exhibit linguistic changes which indicate this transition. In the next section the authors make explicit the sociolinguistic theoretical and methodological assumptions on which the study is based (1988). Thus the reader has a good understanding of the authors' theoretical background and purpose in conducting the study even before it is explicitly stated on the fourth page of the study. "Our purpose was to examine the effects of the educational context on one graduate student's production of texts as he wrote in different courses and for different faculty members over the academic year 1984-85." The goal of the study then, was to explore the idea that writers must be initiated into a writing community, and that this initiation will change the way one writes.

The second example is Janet Emig's (1971) study of the composing process of a group of twelfth graders. In this study, Emig seeks to answer the question of what happens to the self as a result educational stimuli in terms of academic writing. The case study used methods such as protocol analysis, tape-recorded interviews, and discourse analysis.

In the case of Janet Emig's (1971) study of the composing process of eight twelfth graders, four specific hypotheses were made:

  • Twelfth grade writers engage in two modes of composing: reflexive and extensive.
  • These differences can be ascertained and characterized through having the writers compose aloud their composition process.
  • A set of implied stylistic principles governs the writing process.
  • For twelfth grade writers, extensive writing occurs chiefly as a school-sponsored activity, or reflexive, as a self-sponsored activity.

In this study, the chief distinction is between the two dominant modes of composing among older, secondary school students. The distinctions are:

  • The reflexive mode, which focuses on the writer's thoughts and feelings.
  • The extensive mode, which focuses on conveying a message.

Emig also outlines the specific questions which guided the research in the opening pages of her Review of Literature , preceding the report.

Designing a Case Study

After considering the different sub categories of case study and identifying a theoretical perspective, researchers can begin to design their study. Research design is the string of logic that ultimately links the data to be collected and the conclusions to be drawn to the initial questions of the study. Typically, research designs deal with at least four problems:

  • What questions to study
  • What data are relevant
  • What data to collect
  • How to analyze that data

In other words, a research design is basically a blueprint for getting from the beginning to the end of a study. The beginning is an initial set of questions to be answered, and the end is some set of conclusions about those questions.

Because case studies are conducted on topics as diverse as Anglo-Saxon Literature (Thrane 1986) and AIDS prevention (Van Vugt 1994), it is virtually impossible to outline any strict or universal method or design for conducting the case study. However, Robert K. Yin (1993) does offer five basic components of a research design:

  • A study's questions.
  • A study's propositions (if any).
  • A study's units of analysis.
  • The logic that links the data to the propositions.
  • The criteria for interpreting the findings.

In addition to these five basic components, Yin also stresses the importance of clearly articulating one's theoretical perspective, determining the goals of the study, selecting one's subject(s), selecting the appropriate method(s) of collecting data, and providing some considerations to the composition of the final report.

Conducting Case Studies

To obtain as complete a picture of the participant as possible, case study researchers can employ a variety of approaches and methods. These approaches, methods, and related issues are discussed in depth in this section.

Method: Single or Multi-modal?

To obtain as complete a picture of the participant as possible, case study researchers can employ a variety of methods. Some common methods include interviews , protocol analyses, field studies, and participant-observations. Emig (1971) chose to use several methods of data collection. Her sources included conversations with the students, protocol analysis, discrete observations of actual composition, writing samples from each student, and school records (Lauer and Asher 1988).

Berkenkotter, Huckin, and Ackerman (1988) collected data by observing classrooms, conducting faculty and student interviews, collecting self reports from the subject, and by looking at the subject's written work.

A study that was criticized for using a single method model was done by Flower and Hayes (1984). In this study that explores the ways in which writers use different forms of knowing to create space, the authors used only protocol analysis to gather data. The study came under heavy fire because of their decision to use only one method.

Participant Selection

Case studies can use one participant, or a small group of participants. However, it is important that the participant pool remain relatively small. The participants can represent a diverse cross section of society, but this isn't necessary.

For example, the Berkenkotter, Huckin, and Ackerman (1988) study looked at just one participant, Nate. By contrast, in Janet Emig's (1971) study of the composition process of twelfth graders, eight participants were selected representing a diverse cross section of the community, with volunteers from an all-white upper-middle-class suburban school, an all-black inner-city school, a racially mixed lower-middle-class school, an economically and racially mixed school, and a university school.

Often, a brief "case history" is done on the participants of the study in order to provide researchers with a clearer understanding of their participants, as well as some insight as to how their own personal histories might affect the outcome of the study. For instance, in Emig's study, the investigator had access to the school records of five of the participants, and to standardized test scores for the remaining three. Also made available to the researcher was the information that three of the eight students were selected as NCTE Achievement Award winners. These personal histories can be useful in later stages of the study when data are being analyzed and conclusions drawn.

Data Collection

There are six types of data collected in case studies:

  • Archival records.
  • Interviews.
  • Direct observation.
  • Participant observation.

In the field of composition research, these six sources might be:

  • A writer's drafts.
  • School records of student writers.
  • Transcripts of interviews with a writer.
  • Transcripts of conversations between writers (and protocols).
  • Videotapes and notes from direct field observations.
  • Hard copies of a writer's work on computer.

Depending on whether researchers have chosen to use a single or multi-modal approach for the case study, they may choose to collect data from one or any combination of these sources.

Protocols, that is, transcriptions of participants talking aloud about what they are doing as they do it, have been particularly common in composition case studies. For example, in Emig's (1971) study, the students were asked, in four different sessions, to give oral autobiographies of their writing experiences and to compose aloud three themes in the presence of a tape recorder and the investigator.

In some studies, only one method of data collection is conducted. For example, the Flower and Hayes (1981) report on the cognitive process theory of writing depends on protocol analysis alone. However, using multiple sources of evidence to increase the reliability and validity of the data can be advantageous.

Case studies are likely to be much more convincing and accurate if they are based on several different sources of information, following a corroborating mode. This conclusion is echoed among many composition researchers. For example, in her study of predrafting processes of high and low-apprehensive writers, Cynthia Selfe (1985) argues that because "methods of indirect observation provide only an incomplete reflection of the complex set of processes involved in composing, a combination of several such methods should be used to gather data in any one study." Thus, in this study, Selfe collected her data from protocols, observations of students role playing their writing processes, audio taped interviews with the students, and videotaped observations of the students in the process of composing.

It can be said then, that cross checking data from multiple sources can help provide a multidimensional profile of composing activities in a particular setting. Sharan Merriam (1985) suggests "checking, verifying, testing, probing, and confirming collected data as you go, arguing that this process will follow in a funnel-like design resulting in less data gathering in later phases of the study along with a congruent increase in analysis checking, verifying, and confirming."

It is important to note that in case studies, as in any qualitative descriptive research, while researchers begin their studies with one or several questions driving the inquiry (which influence the key factors the researcher will be looking for during data collection), a researcher may find new key factors emerging during data collection. These might be unexpected patterns or linguistic features which become evident only during the course of the research. While not bearing directly on the researcher's guiding questions, these variables may become the basis for new questions asked at the end of the report, thus linking to the possibility of further research.

Data Analysis

As the information is collected, researchers strive to make sense of their data. Generally, researchers interpret their data in one of two ways: holistically or through coding. Holistic analysis does not attempt to break the evidence into parts, but rather to draw conclusions based on the text as a whole. Flower and Hayes (1981), for example, make inferences from entire sections of their students' protocols, rather than searching through the transcripts to look for isolatable characteristics.

However, composition researchers commonly interpret their data by coding, that is by systematically searching data to identify and/or categorize specific observable actions or characteristics. These observable actions then become the key variables in the study. Sharan Merriam (1988) suggests seven analytic frameworks for the organization and presentation of data:

  • The role of participants.
  • The network analysis of formal and informal exchanges among groups.
  • Historical.
  • Thematical.
  • Ritual and symbolism.
  • Critical incidents that challenge or reinforce fundamental beliefs, practices, and values.

There are two purposes of these frameworks: to look for patterns among the data and to look for patterns that give meaning to the case study.

As stated above, while most researchers begin their case studies expecting to look for particular observable characteristics, it is not unusual for key variables to emerge during data collection. Typical variables coded in case studies of writers include pauses writers make in the production of a text, the use of specific linguistic units (such as nouns or verbs), and writing processes (planning, drafting, revising, and editing). In the Berkenkotter, Huckin, and Ackerman (1988) study, for example, researchers coded the participant's texts for use of connectives, discourse demonstratives, average sentence length, off-register words, use of the first person pronoun, and the ratio of definite articles to indefinite articles.

Since coding is inherently subjective, more than one coder is usually employed. In the Berkenkotter, Huckin, and Ackerman (1988) study, for example, three rhetoricians were employed to code the participant's texts for off-register phrases. The researchers established the agreement among the coders before concluding that the participant used fewer off-register words as the graduate program progressed.

Composing the Case Study Report

In the many forms it can take, "a case study is generically a story; it presents the concrete narrative detail of actual, or at least realistic events, it has a plot, exposition, characters, and sometimes even dialogue" (Boehrer 1990). Generally, case study reports are extensively descriptive, with "the most problematic issue often referred to as being the determination of the right combination of description and analysis" (1990). Typically, authors address each step of the research process, and attempt to give the reader as much context as possible for the decisions made in the research design and for the conclusions drawn.

This contextualization usually includes a detailed explanation of the researchers' theoretical positions, of how those theories drove the inquiry or led to the guiding research questions, of the participants' backgrounds, of the processes of data collection, of the training and limitations of the coders, along with a strong attempt to make connections between the data and the conclusions evident.

Although the Berkenkotter, Huckin, and Ackerman (1988) study does not, case study reports often include the reactions of the participants to the study or to the researchers' conclusions. Because case studies tend to be exploratory, most end with implications for further study. Here researchers may identify significant variables that emerged during the research and suggest studies related to these, or the authors may suggest further general questions that their case study generated.

For example, Emig's (1971) study concludes with a section dedicated solely to the topic of implications for further research, in which she suggests several means by which this particular study could have been improved, as well as questions and ideas raised by this study which other researchers might like to address, such as: is there a correlation between a certain personality and a certain composing process profile (e.g. is there a positive correlation between ego strength and persistence in revising)?

Also included in Emig's study is a section dedicated to implications for teaching, which outlines the pedagogical ramifications of the study's findings for teachers currently involved in high school writing programs.

Sharan Merriam (1985) also offers several suggestions for alternative presentations of data:

  • Prepare specialized condensations for appropriate groups.
  • Replace narrative sections with a series of answers to open-ended questions.
  • Present "skimmer's" summaries at beginning of each section.
  • Incorporate headlines that encapsulate information from text.
  • Prepare analytic summaries with supporting data appendixes.
  • Present data in colorful and/or unique graphic representations.

Issues of Validity and Reliability

Once key variables have been identified, they can be analyzed. Reliability becomes a key concern at this stage, and many case study researchers go to great lengths to ensure that their interpretations of the data will be both reliable and valid. Because issues of validity and reliability are an important part of any study in the social sciences, it is important to identify some ways of dealing with results.

Multi-modal case study researchers often balance the results of their coding with data from interviews or writer's reflections upon their own work. Consequently, the researchers' conclusions become highly contextualized. For example, in a case study which looked at the time spent in different stages of the writing process, Berkenkotter concluded that her participant, Donald Murray, spent more time planning his essays than in other writing stages. The report of this case study is followed by Murray's reply, wherein he agrees with some of Berkenkotter's conclusions and disagrees with others.

As is the case with other research methodologies, issues of external validity, construct validity, and reliability need to be carefully considered.

Commentary on Case Studies

Researchers often debate the relative merits of particular methods, among them case study. In this section, we comment on two key issues. To read the commentaries, choose any of the items below:

Strengths and Weaknesses of Case Studies

Most case study advocates point out that case studies produce much more detailed information than what is available through a statistical analysis. Advocates will also hold that while statistical methods might be able to deal with situations where behavior is homogeneous and routine, case studies are needed to deal with creativity, innovation, and context. Detractors argue that case studies are difficult to generalize because of inherent subjectivity and because they are based on qualitative subjective data, generalizable only to a particular context.

Flexibility

The case study approach is a comparatively flexible method of scientific research. Because its project designs seem to emphasize exploration rather than prescription or prediction, researchers are comparatively freer to discover and address issues as they arise in their experiments. In addition, the looser format of case studies allows researchers to begin with broad questions and narrow their focus as their experiment progresses rather than attempt to predict every possible outcome before the experiment is conducted.

Emphasis on Context

By seeking to understand as much as possible about a single subject or small group of subjects, case studies specialize in "deep data," or "thick description"--information based on particular contexts that can give research results a more human face. This emphasis can help bridge the gap between abstract research and concrete practice by allowing researchers to compare their firsthand observations with the quantitative results obtained through other methods of research.

Inherent Subjectivity

"The case study has long been stereotyped as the weak sibling among social science methods," and is often criticized as being too subjective and even pseudo-scientific. Likewise, "investigators who do case studies are often regarded as having deviated from their academic disciplines, and their investigations as having insufficient precision (that is, quantification), objectivity and rigor" (Yin 1989). Opponents cite opportunities for subjectivity in the implementation, presentation, and evaluation of case study research. The approach relies on personal interpretation of data and inferences. Results may not be generalizable, are difficult to test for validity, and rarely offer a problem-solving prescription. Simply put, relying on one or a few subjects as a basis for cognitive extrapolations runs the risk of inferring too much from what might be circumstance.

High Investment

Case studies can involve learning more about the subjects being tested than most researchers would care to know--their educational background, emotional background, perceptions of themselves and their surroundings, their likes, dislikes, and so on. Because of its emphasis on "deep data," the case study is out of reach for many large-scale research projects which look at a subject pool in the tens of thousands. A budget request of $10,000 to examine 200 subjects sounds more efficient than a similar request to examine four subjects.

Ethical Considerations

Researchers conducting case studies should consider certain ethical issues. For example, many educational case studies are often financed by people who have, either directly or indirectly, power over both those being studied and those conducting the investigation (1985). This conflict of interests can hinder the credibility of the study.

The personal integrity, sensitivity, and possible prejudices and/or biases of the investigators need to be taken into consideration as well. Personal biases can creep into how the research is conducted, alternative research methods used, and the preparation of surveys and questionnaires.

A common complaint in case study research is that investigators change direction during the course of the study unaware that their original research design was inadequate for the revised investigation. Thus, the researchers leave unknown gaps and biases in the study. To avoid this, researchers should report preliminary findings so that the likelihood of bias will be reduced.

Concerns about Reliability, Validity, and Generalizability

Merriam (1985) offers several suggestions for how case study researchers might actively combat the popular attacks on the validity, reliability, and generalizability of case studies:

  • Prolong the Processes of Data Gathering on Site: This will help to insure the accuracy of the findings by providing the researcher with more concrete information upon which to formulate interpretations.
  • Employ the Process of "Triangulation": Use a variety of data sources as opposed to relying solely upon one avenue of observation. One example of such a data check would be what McClintock, Brannon, and Maynard (1985) refer to as a "case cluster method," that is, when a single unit within a larger case is randomly sampled, and that data treated quantitatively." For instance, in Emig's (1971) study, the case cluster method was employed, singling out the productivity of a single student named Lynn. This cluster profile included an advanced case history of the subject, specific examination and analysis of individual compositions and protocols, and extensive interview sessions. The seven remaining students were then compared with the case of Lynn, to ascertain if there are any shared, or unique dimensions to the composing process engaged in by these eight students.
  • Conduct Member Checks: Initiate and maintain an active corroboration on the interpretation of data between the researcher and those who provided the data. In other words, talk to your subjects.
  • Collect Referential Materials: Complement the file of materials from the actual site with additional document support. For example, Emig (1971) supports her initial propositions with historical accounts by writers such as T.S. Eliot, James Joyce, and D.H. Lawrence. Emig also cites examples of theoretical research done with regards to the creative process, as well as examples of empirical research dealing with the writing of adolescents. Specific attention is then given to the four stages description of the composing process delineated by Helmoltz, Wallas, and Cowley, as it serves as the focal point in this study.
  • Engage in Peer Consultation: Prior to composing the final draft of the report, researchers should consult with colleagues in order to establish validity through pooled judgment.

Although little can be done to combat challenges concerning the generalizability of case studies, "most writers suggest that qualitative research should be judged as credible and confirmable as opposed to valid and reliable" (Merriam 1985). Likewise, it has been argued that "rather than transplanting statistical, quantitative notions of generalizability and thus finding qualitative research inadequate, it makes more sense to develop an understanding of generalization that is congruent with the basic characteristics of qualitative inquiry" (1985). After all, criticizing the case study method for being ungeneralizable is comparable to criticizing a washing machine for not being able to tell the correct time. In other words, it is unjust to criticize a method for not being able to do something which it was never originally designed to do in the first place.

Annotated Bibliography

Armisted, C. (1984). How Useful are Case Studies. Training and Development Journal, 38 (2), 75-77.

This article looks at eight types of case studies, offers pros and cons of using case studies in the classroom, and gives suggestions for successfully writing and using case studies.

Bardovi-Harlig, K. (1997). Beyond Methods: Components of Second Language Teacher Education . New York: McGraw-Hill.

A compilation of various research essays which address issues of language teacher education. Essays included are: "Non-native reading research and theory" by Lee, "The case for Psycholinguistics" by VanPatten, and "Assessment and Second Language Teaching" by Gradman and Reed.

Bartlett, L. (1989). A Question of Good Judgment; Interpretation Theory and Qualitative Enquiry Address. 70th Annual Meeting of the American Educational Research Association. San Francisco.

Bartlett selected "quasi-historical" methodology, which focuses on the "truth" found in case records, as one that will provide "good judgments" in educational inquiry. He argues that although the method is not comprehensive, it can try to connect theory with practice.

Baydere, S. et. al. (1993). Multimedia conferencing as a tool for collaborative writing: a case study in Computer Supported Collaborative Writing. New York: Springer-Verlag.

The case study by Baydere et. al. is just one of the many essays in this book found in the series "Computer Supported Cooperative Work." Denley, Witefield and May explore similar issues in their essay, "A case study in task analysis for the design of a collaborative document production system."

Berkenkotter, C., Huckin, T., N., & Ackerman J. (1988). Conventions, Conversations, and the Writer: Case Study of a Student in a Rhetoric Ph.D. Program. Research in the Teaching of English, 22, 9-44.

The authors focused on how the writing of their subject, Nate or Ackerman, changed as he became more acquainted or familiar with his field's discourse community.

Berninger, V., W., and Gans, B., M. (1986). Language Profiles in Nonspeaking Individuals of Normal Intelligence with Severe Cerebral Palsy. Augmentative and Alternative Communication, 2, 45-50.

Argues that generalizations about language abilities in patients with severe cerebral palsy (CP) should be avoided. Standardized tests of different levels of processing oral language, of processing written language, and of producing written language were administered to 3 male participants (aged 9, 16, and 40 yrs).

Bockman, J., R., and Couture, B. (1984). The Case Method in Technical Communication: Theory and Models. Texas: Association of Teachers of Technical Writing.

Examines the study and teaching of technical writing, communication of technical information, and the case method in terms of those applications.

Boehrer, J. (1990). Teaching With Cases: Learning to Question. New Directions for Teaching and Learning, 42 41-57.

This article discusses the origins of the case method, looks at the question of what is a case, gives ideas about learning in case teaching, the purposes it can serve in the classroom, the ground rules for the case discussion, including the role of the question, and new directions for case teaching.

Bowman, W. R. (1993). Evaluating JTPA Programs for Economically Disadvantaged Adults: A Case Study of Utah and General Findings . Washington: National Commission for Employment Policy.

"To encourage state-level evaluations of JTPA, the Commission and the State of Utah co-sponsored this report on the effectiveness of JTPA Title II programs for adults in Utah. The technique used is non-experimental and the comparison group was selected from registrants with Utah's Employment Security. In a step-by-step approach, the report documents how non-experimental techniques can be applied and several specific technical issues can be addressed."

Boyce, A. (1993) The Case Study Approach for Pedagogists. Annual Meeting of the American Alliance for Health, Physical Education, Recreation and Dance. (Address). Washington DC.

This paper addresses how case studies 1) bridge the gap between teaching theory and application, 2) enable students to analyze problems and develop solutions for situations that will be encountered in the real world of teaching, and 3) helps students to evaluate the feasibility of alternatives and to understand the ramifications of a particular course of action.

Carson, J. (1993) The Case Study: Ideal Home of WAC Quantitative and Qualitative Data. Annual Meeting of the Conference on College Composition and Communication. (Address). San Diego.

"Increasingly, one of the most pressing questions for WAC advocates is how to keep [WAC] programs going in the face of numerous difficulties. Case histories offer the best chance for fashioning rhetorical arguments to keep WAC programs going because they offer the opportunity to provide a coherent narrative that contextualizes all documents and data, including what is generally considered scientific data. A case study of the WAC program, . . . at Robert Morris College in Pittsburgh demonstrates the advantages of this research method. Such studies are ideal homes for both naturalistic and positivistic data as well as both quantitative and qualitative information."

---. (1991). A Cognitive Process Theory of Writing. College Composition and Communication. 32. 365-87.

No abstract available.

Cromer, R. (1994) A Case Study of Dissociations Between Language and Cognition. Constraints on Language Acquisition: Studies of Atypical Children . Hillsdale: Lawrence Erlbaum Associates, 141-153.

Crossley, M. (1983) Case Study in Comparative and International Education: An Approach to Bridging the Theory-Practice Gap. Proceedings of the 11th Annual Conference of the Australian Comparative and International Education Society. Hamilton, NZ.

Case study research, as presented here, helps bridge the theory-practice gap in comparative and international research studies of education because it focuses on the practical, day-to-day context rather than on the national arena. The paper asserts that the case study method can be valuable at all levels of research, formation, and verification of theories in education.

Daillak, R., H., and Alkin, M., C. (1982). Qualitative Studies in Context: Reflections on the CSE Studies of Evaluation Use . California: EDRS

The report shows how the Center of the Study of Evaluation (CSE) applied qualitative techniques to a study of evaluation information use in local, Los Angeles schools. It critiques the effectiveness and the limitations of using case study, evaluation, field study, and user interview survey methodologies.

Davey, L. (1991). The Application of Case Study Evaluations. ERIC/TM Digest.

This article examines six types of case studies, the type of evaluation questions that can be answered, the functions served, some design features, and some pitfalls of the method.

Deutch, C. E. (1996). A course in research ethics for graduate students. College Teaching, 44, 2, 56-60.

This article describes a one-credit discussion course in research ethics for graduate students in biology. Case studies are focused on within the four parts of the course: 1) major issues, 2 )practical issues in scholarly work, 3) ownership of research results, and 4) training and personal decisions.

DeVoss, G. (1981). Ethics in Fieldwork Research. RIE 27p. (ERIC)

This article examines four of the ethical problems that can happen when conducting case study research: acquiring permission to do research, knowing when to stop digging, the pitfalls of doing collaborative research, and preserving the integrity of the participants.

Driscoll, A. (1985). Case Study of a Research Intervention: the University of Utah’s Collaborative Approach . San Francisco: Far West Library for Educational Research Development.

Paper presented at the annual meeting of the American Association of Colleges of Teacher Education, Denver, CO, March 1985. Offers information of in-service training, specifically case studies application.

Ellram, L. M. (1996). The Use of the Case Study Method in Logistics Research. Journal of Business Logistics, 17, 2, 93.

This article discusses the increased use of case study in business research, and the lack of understanding of when and how to use case study methodology in business.

Emig, J. (1971) The Composing Processes of Twelfth Graders . Urbana: NTCE.

This case study uses observation, tape recordings, writing samples, and school records to show that writing in reflexive and extensive situations caused different lengths of discourse and different clusterings of the components of the writing process.

Feagin, J. R. (1991). A Case For the Case Study . Chapel Hill: The University of North Carolina Press.

This book discusses the nature, characteristics, and basic methodological issues of the case study as a research method.

Feldman, H., Holland, A., & Keefe, K. (1989) Language Abilities after Left Hemisphere Brain Injury: A Case Study of Twins. Topics in Early Childhood Special Education, 9, 32-47.

"Describes the language abilities of 2 twin pairs in which 1 twin (the experimental) suffered brain injury to the left cerebral hemisphere around the time of birth and1 twin (the control) did not. One pair of twins was initially assessed at age 23 mo. and the other at about 30 mo.; they were subsequently evaluated in their homes 3 times at about 6-mo intervals."

Fidel, R. (1984). The Case Study Method: A Case Study. Library and Information Science Research, 6.

The article describes the use of case study methodology to systematically develop a model of online searching behavior in which study design is flexible, subject manner determines data gathering and analyses, and procedures adapt to the study's progressive change.

Flower, L., & Hayes, J. R. (1984). Images, Plans and Prose: The Representation of Meaning in Writing. Written Communication, 1, 120-160.

Explores the ways in which writers actually use different forms of knowing to create prose.

Frey, L. R. (1992). Interpreting Communication Research: A Case Study Approach Englewood Cliffs, N.J.: Prentice Hall.

The book discusses research methodologies in the Communication field. It focuses on how case studies bridge the gap between communication research, theory, and practice.

Gilbert, V. K. (1981). The Case Study as a Research Methodology: Difficulties and Advantages of Integrating the Positivistic, Phenomenological and Grounded Theory Approaches . The Annual Meeting of the Canadian Association for the Study of Educational Administration. (Address) Halifax, NS, Can.

This study on an innovative secondary school in England shows how a "low-profile" participant-observer case study was crucial to the initial observation, the testing of hypotheses, the interpretive approach, and the grounded theory.

Gilgun, J. F. (1994). A Case for Case Studies in Social Work Research. Social Work, 39, 4, 371-381.

This article defines case study research, presents guidelines for evaluation of case studies, and shows the relevance of case studies to social work research. It also looks at issues such as evaluation and interpretations of case studies.

Glennan, S. L., Sharp-Bittner, M. A. & Tullos, D. C. (1991). Augmentative and Alternative Communication Training with a Nonspeaking Adult: Lessons from MH. Augmentative and Alternative Communication, 7, 240-7.

"A response-guided case study documented changes in a nonspeaking 36-yr-old man's ability to communicate using 3 trained augmentative communication modes. . . . Data were collected in videotaped interaction sessions between the nonspeaking adult and a series of adult speaking."

Graves, D. (1981). An Examination of the Writing Processes of Seven Year Old Children. Research in the Teaching of English, 15, 113-134.

Hamel, J. (1993). Case Study Methods . Newbury Park: Sage. .

"In a most economical fashion, Hamel provides a practical guide for producing theoretically sharp and empirically sound sociological case studies. A central idea put forth by Hamel is that case studies must "locate the global in the local" thus making the careful selection of the research site the most critical decision in the analytic process."

Karthigesu, R. (1986, July). Television as a Tool for Nation-Building in the Third World: A Post-Colonial Pattern, Using Malaysia as a Case-Study. International Television Studies Conference. (Address). London, 10-12.

"The extent to which Television Malaysia, as a national mass media organization, has been able to play a role in nation building in the post-colonial period is . . . studied in two parts: how the choice of a model of nation building determines the character of the organization; and how the character of the organization influences the output of the organization."

Kenny, R. (1984). Making the Case for the Case Study. Journal of Curriculum Studies, 16, (1), 37-51.

The article looks at how and why the case study is justified as a viable and valuable approach to educational research and program evaluation.

Knirk, F. (1991). Case Materials: Research and Practice. Performance Improvement Quarterly, 4 (1 ), 73-81.

The article addresses the effectiveness of case studies, subject areas where case studies are commonly used, recent examples of their use, and case study design considerations.

Klos, D. (1976). Students as Case Writers. Teaching of Psychology, 3.2, 63-66.

This article reviews a course in which students gather data for an original case study of another person. The task requires the students to design the study, collect the data, write the narrative, and interpret the findings.

Leftwich, A. (1981). The Politics of Case Study: Problems of Innovation in University Education. Higher Education Review, 13.2, 38-64.

The article discusses the use of case studies as a teaching method. Emphasis is on the instructional materials, interdisciplinarity, and the complex relationships within the university that help or hinder the method.

Mabrito, M. (1991, Oct.). Electronic Mail as a Vehicle for Peer Response: Conversations of High and Low Apprehensive Writers. Written Communication, 509-32.

McCarthy, S., J. (1955). The Influence of Classroom Discourse on Student Texts: The Case of Ella . East Lansing: Institute for Research on Teaching.

A look at how students of color become marginalized within traditional classroom discourse. The essay follows the struggles of one black student: Ella.

Matsuhashi, A., ed. (1987). Writing in Real Time: Modeling Production Processes Norwood, NJ: Ablex Publishing Corporation.

Investigates how writers plan to produce discourse for different purposes to report, to generalize, and to persuade, as well as how writers plan for sentence level units of language. To learn about planning, an observational measure of pause time was used" (ERIC).

Merriam, S. B. (1985). The Case Study in Educational Research: A Review of Selected Literature. Journal of Educational Thought, 19.3, 204-17.

The article examines the characteristics of, philosophical assumptions underlying the case study, the mechanics of conducting a case study, and the concerns about the reliability, validity, and generalizability of the method.

---. (1988). Case Study Research in Education: A Qualitative Approach San Francisco: Jossey Bass.

Merry, S. E., & Milner, N. eds. (1993). The Possibility of Popular Justice: A Case Study of Community Mediation in the United States . Ann Arbor: U of Michigan.

". . . this volume presents a case study of one experiment in popular justice, the San Francisco Community Boards. This program has made an explicit claim to create an alternative justice, or new justice, in the midst of a society ordered by state law. The contributors to this volume explore the history and experience of the program and compare it to other versions of popular justice in the United States, Europe, and the Third World."

Merseth, K. K. (1991). The Case for Cases in Teacher Education. RIE. 42p. (ERIC).

This monograph argues that the case method of instruction offers unique potential for revitalizing the field of teacher education.

Michaels, S. (1987). Text and Context: A New Approach to the Study of Classroom Writing. Discourse Processes, 10, 321-346.

"This paper argues for and illustrates an approach to the study of writing that integrates ethnographic analysis of classroom interaction with linguistic analysis of written texts and teacher/student conversational exchanges. The approach is illustrated through a case study of writing in a single sixth grade classroom during a single writing assignment."

Milburn, G. (1995). Deciphering a Code or Unraveling a Riddle: A Case Study in the Application of a Humanistic Metaphor to the Reporting of Social Studies Teaching. Theory and Research in Education, 13.

This citation serves as an example of how case studies document learning procedures in a senior-level economics course.

Milley, J. E. (1979). An Investigation of Case Study as an Approach to Program Evaluation. 19th Annual Forum of the Association for Institutional Research. (Address). San Diego.

The case study method merged a narrative report focusing on the evaluator as participant-observer with document review, interview, content analysis, attitude questionnaire survey, and sociogram analysis. Milley argues that case study program evaluation has great potential for widespread use.

Minnis, J. R. (1985, Sept.). Ethnography, Case Study, Grounded Theory, and Distance Education Research. Distance Education, 6.2.

This article describes and defines the strengths and weaknesses of ethnography, case study, and grounded theory.

Nunan, D. (1992). Collaborative language learning and teaching . New York: Cambridge University Press.

Included in this series of essays is Peter Sturman’s "Team Teaching: a case study from Japan" and David Nunan’s own "Toward a collaborative approach to curriculum development: a case study."

Nystrand, M., ed. (1982). What Writers Know: The Language, Process, and Structure of Written Discourse . New York: Academic Press.

Owenby, P. H. (1992). Making Case Studies Come Alive. Training, 29, (1), 43-46. (ERIC)

This article provides tips for writing more effective case studies.

---. (1981). Pausing and Planning: The Tempo of Writer Discourse Production. Research in the Teaching of English, 15 (2),113-34.

Perl, S. (1979). The Composing Processes of Unskilled College Writers. Research in the Teaching of English, 13, 317-336.

"Summarizes a study of five unskilled college writers, focusing especially on one of the five, and discusses the findings in light of current pedagogical practice and research design."

Pilcher J. and A. Coffey. eds. (1996). Gender and Qualitative Research . Brookfield: Aldershot, Hants, England.

This book provides a series of essays which look at gender identity research, qualitative research and applications of case study to questions of gendered pedagogy.

Pirie, B. S. (1993). The Case of Morty: A Four Year Study. Gifted Education International, 9 (2), 105-109.

This case study describes a boy from kindergarten through third grade with above average intelligence but difficulty in learning to read, write, and spell.

Popkewitz, T. (1993). Changing Patterns of Power: Social Regulation and Teacher Education Reform. Albany: SUNY Press.

Popkewitz edits this series of essays that address case studies on educational change and the training of teachers. The essays vary in terms of discipline and scope. Also, several authors include case studies of educational practices in countries other than the United States.

---. (1984). The Predrafting Processes of Four High- and Four Low Apprehensive Writers. Research in the Teaching of English, 18, (1), 45-64.

Rasmussen, P. (1985, March) A Case Study on the Evaluation of Research at the Technical University of Denmark. International Journal of Institutional Management in Higher Education, 9 (1).

This is an example of a case study methodology used to evaluate the chemistry and chemical engineering departments at the University of Denmark.

Roth, K. J. (1986). Curriculum Materials, Teacher Talk, and Student Learning: Case Studies in Fifth-Grade Science Teaching . East Lansing: Institute for Research on Teaching.

Roth offers case studies on elementary teachers, elementary school teaching, science studies and teaching, and verbal learning.

Selfe, C. L. (1985). An Apprehensive Writer Composes. When a Writer Can't Write: Studies in Writer's Block and Other Composing-Process Problems . (pp. 83-95). Ed. Mike Rose. NMY: Guilford.

Smith-Lewis, M., R. and Ford, A. (1987). A User's Perspective on Augmentative Communication. Augmentative and Alternative Communication, 3, 12-7.

"During a series of in-depth interviews, a 25-yr-old woman with cerebral palsy who utilized augmentative communication reflected on the effectiveness of the devices designed for her during her school career."

St. Pierre, R., G. (1980, April). Follow Through: A Case Study in Metaevaluation Research . 64th Annual Meeting of the American Educational Research Association. (Address).

The three approaches to metaevaluation are evaluation of primary evaluations, integrative meta-analysis with combined primary evaluation results, and re-analysis of the raw data from a primary evaluation.

Stahler, T., M. (1996, Feb.) Early Field Experiences: A Model That Worked. ERIC.

"This case study of a field and theory class examines a model designed to provide meaningful field experiences for preservice teachers while remaining consistent with the instructor's beliefs about the role of teacher education in preparing teachers for the classroom."

Stake, R. E. (1995). The Art of Case Study Research. Thousand Oaks: Sage Publications.

This book examines case study research in education and case study methodology.

Stiegelbauer, S. (1984) Community, Context, and Co-curriculum: Situational Factors Influencing School Improvements in a Study of High Schools. Presented at the annual meeting of the American Educational Research Association, New Orleans, LA.

Discussion of several case studies: one looking at high school environments, another examining educational innovations.

Stolovitch, H. (1990). Case Study Method. Performance And Instruction, 29, (9), 35-37.

This article describes the case study method as a form of simulation and presents guidelines for their use in professional training situations.

Thaller, E. (1994). Bibliography for the Case Method: Using Case Studies in Teacher Education. RIE. 37 p.

This bibliography presents approximately 450 citations on the use of case studies in teacher education from 1921-1993.

Thrane, T. (1986). On Delimiting the Senses of Near-Synonyms in Historical Semantics: A Case Study of Adjectives of 'Moral Sufficiency' in the Old English Andreas. Linguistics Across Historical and Geographical Boundaries: In Honor of Jacek Fisiak on the Occasion of his Fiftieth Birthday . Berlin: Mouton de Gruyter.

United Nations. (1975). Food and Agriculture Organization. Report on the FAO/UNFPA Seminar on Methodology, Research and Country: Case Studies on Population, Employment and Productivity . Rome: United Nations.

This example case study shows how the methodology can be used in a demographic and psychographic evaluation. At the same time, it discusses the formation and instigation of the case study methodology itself.

Van Vugt, J. P., ed. (1994). Aids Prevention and Services: Community Based Research . Westport: Bergin and Garvey.

"This volume has been five years in the making. In the process, some of the policy applications called for have met with limited success, such as free needle exchange programs in a limited number of American cities, providing condoms to prison inmates, and advertisements that depict same-sex couples. Rather than dating our chapters that deal with such subjects, such policy applications are verifications of the type of research demonstrated here. Furthermore, they indicate the critical need to continue community based research in the various communities threatened by acquired immuno-deficiency syndrome (AIDS) . . . "

Welch, W., ed. (1981, May). Case Study Methodology in Educational Evaluation. Proceedings of the Minnesota Evaluation Conference. Minnesota. (Address).

The four papers in these proceedings provide a comprehensive picture of the rationale, methodology, strengths, and limitations of case studies.

Williams, G. (1987). The Case Method: An Approach to Teaching and Learning in Educational Administration. RIE, 31p.

This paper examines the viability of the case method as a teaching and learning strategy in instructional systems geared toward the training of personnel of the administration of various aspects of educational systems.

Yin, R. K. (1993). Advancing Rigorous Methodologies: A Review of 'Towards Rigor in Reviews of Multivocal Literatures.' Review of Educational Research, 61, (3).

"R. T. Ogawa and B. Malen's article does not meet its own recommended standards for rigorous testing and presentation of its own conclusions. Use of the exploratory case study to analyze multivocal literatures is not supported, and the claim of grounded theory to analyze multivocal literatures may be stronger."

---. (1989). Case Study Research: Design and Methods. London: Sage Publications Inc.

This book discusses in great detail, the entire design process of the case study, including entire chapters on collecting evidence, analyzing evidence, composing the case study report, and designing single and multiple case studies.

Related Links

Consider the following list of related Web sites for more information on the topic of case study research. Note: although many of the links cover the general category of qualitative research, all have sections that address issues of case studies.

  • Sage Publications on Qualitative Methodology: Search here for a comprehensive list of new books being published about "Qualitative Methodology" http://www.sagepub.co.uk/
  • The International Journal of Qualitative Studies in Education: An on-line journal "to enhance the theory and practice of qualitative research in education." On-line submissions are welcome. http://www.tandf.co.uk/journals/tf/09518398.html
  • Qualitative Research Resources on the Internet: From syllabi to home pages to bibliographies. All links relate somehow to qualitative research. http://www.nova.edu/ssss/QR/qualres.html

Citation Information

Bronwyn Becker, Patrick Dawson, Karen Devine, Carla Hannum, Steve Hill, Jon Leydens, Debbie Matuskevich, Carol Traver, and Mike Palmquist. (1994-2024). Case Studies. The WAC Clearinghouse. Colorado State University. Available at https://wac.colostate.edu/repository/writing/guides/.

Copyright Information

Copyright © 1994-2024 Colorado State University and/or this site's authors, developers, and contributors . Some material displayed on this site is used with permission.

Advertisement

Advertisement

A Case for the Case Study: How and Why They Matter

  • Original Paper
  • Published: 06 June 2017
  • Volume 45 , pages 189–200, ( 2017 )

Cite this article

  • Jeffrey Longhofer 1 ,
  • Jerry Floersch 1 &
  • Eric Hartmann 2  

3863 Accesses

13 Citations

3 Altmetric

Explore all metrics

In this special issue we have asked the contributors to make a case for the case study. The guest editors, Jeffrey Longhofer, Jerry Floersch and Eric Hartmann, intergrate ideas from across the disciplines to explore the complexties of case study methods and theory. In education, Gary Thomas explores the importance of ethnographic case studies in understanding the relationships among schools, teachers, and students. Lance Dodes and Josh Dodes use the case study to articulate a psychoanalytic approach to addiction. In policy and generalist practice, Nancy Cartwright and Jeremy Hardie elaborate a model for a case-by-case approach to prediction and the swampy ground prediction serves up to practitioners. Christian Salas and Oliver Turnbull persuasively write about the role of the case study in neuro-psychoanalysis and illustrate it with a case vignette. In political science, Sanford Schram argues for a bottom up and ethnographic approach to studying policy implementation by describing a case of a home ownership program in Philadelphia. Eric Hartman queers the case study by articulating its role in deconstructing normative explanations of sexuality. In applied psychology, Daniel Fishman describes a comprehensive applied psychology perspective on the paradigmatic case study. Richard Miller and Miriam Jaffe offer us important ways of thinking about writing the case study and the use of multi-media. Each contributor brings a unique perspective to the use of the case study in their field, yet they share practical and philosophical assumptions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price includes VAT (Russian Federation)

Instant access to the full article PDF.

Rent this article via DeepDyve

Institutional subscriptions

Aastrup, J., & Halldórsson, Á (2008). Epistemological role of case studies in logistics: A critical realist perspective. International Journal of Physical Distribution & Logistics Management, 38 (10), 746–763.

Article   Google Scholar  

Abbott, A. (1992). What do cases do? Some notes on activity in sociological analysis. In C. C. Ragin, & H. S. Becker (Eds.), What is a case?: Exploring the foundations of social inquiry (pp. 53–82). Cambridge: Cambridge University Press.

Google Scholar  

Ahbel-Rappe, K. (2009). “After a long pause”: How to read Dora as history. Journal of the American Psychoanalytic Association, 57 (3), 595–629.

Article   PubMed   Google Scholar  

Alfonso, C. A. (2002). Frontline—writing psychoanalytic case reports: Safeguarding privacy while preserving integrity. Journal of the American Academy of Psychoanalysis and Dynamic Psychiatry, 30 (2), 165–172.

Altstein, R. (2016). Finding words: How the process and products of psychoanalytic writing can channel the therapeutic action of the very treatment it sets out to describe. Psychoanalytic Perspectives, 13 (1), 51–70.

Anderson, W. (2013). The case of the archive. Critical Inquiry, 39 (3), 532–547.

Antommaria, A. (2004). Do as I say, not as I do: Why bioethicists should seek informed consent for some case studies. Hastings Center Report, 34 (3), 28–34.

Archer, M. S. (2010). Routine, reflexivity, and realism. Sociological Theory , 28 (3), 272–303.

Aron, L. (2000). Ethical considerations in the writing of psychoanalytic case histories. Psychoanalytic Dialogues, 10 (2), 231–245.

Aron, L. (2016). Ethical considerations in psychoanalytic writing revisited. Psychoanalytic Perspectives, 13 (3), 267–290.

Barth, M., & Thomas, I. (2012). Synthesising case-study research: Ready for the next step? Environmental Education Research, 18 (6), 751–764.

Benner, P. (1982). From novice to expert. The American Journal of Nursing, 82 (3), 402–407.

PubMed   Google Scholar  

Benner, P. (2000a). The wisdom of our practice. The American Journal of Nursing, 100 (10), 99–105.

Benner, P. (2000b). The roles of embodiment, emotion and lifeworld for rationality and agency in nursing practice. Nursing Philosophy, 1 (1), 5–19.

Benner, P. (2004). Using the Dreyfus model of skill acquisition to describe and interpret skill acquisition and clinical judgment in nursing practice and education. Bulletin of Science, Technology & Society, 24 (3), 188–199.

Bennett, A., & Elman, C. (2006). Qualitative research: Recent developments in case study methods. Annual Review of Political Science, 9 , 455–476.

Bennett, A., & Elman, C. (2007). Case study methods in the international relations subfield. Comparative Political Studies, 40 (2), 170–195.

Bergene, A. (2007). Towards a critical realist comparative methodology. Journal of Critical Realism, 3 (1), 5–27.

Berlant, L. (2007). On the case. Critical Inquiry, 33 (4), 663–672.

Bernstein, S. B. (2008a). Writing about the psychoanalytic process. Psychoanalytic Inquiry, 28 (4), 433–449.

Bernstein, S. B. (2008b). Writing, rewriting, and working through. Psychoanalytic Inquiry, 28 (4), 450–464.

Blechner, M. (2012). Confidentiality: Against disguise, for consent. Psychotherapy, 49 (1), 16–18.

Bornstein, R. F. (2007). Nomothetic psychoanalysis. Psychoanalytic Psychology, 24 (4), 590–602.

Bourdieu, P. (1990). The scholastic point of view. Cultural Anthropology, 5 (4), 380–391.

Bourdieu, P. (2000). Pascalian meditations . Stanford: Stanford University Press.

Boyce, N. (2015). Dora in the 21st century. Lancet, 386 (9997), 948–949.

Brandell, J., & Varkas, T. (2010). Narrative case studies. In B. Thyer (Ed.), The handbook of social work research methods (Chap. 20, pp. 375–396). Los Angeles: SAGE

Bunch, W. H., & Dvonch, V. M. (2000). Moral decisions regarding innovation: The case method. Clinical Orthopaedics and Related Research, 378 , 44–49.

Burawoy, M. (1998). The extended case method. Sociological theory, 16 (1), 4–33.

Campbell, D. T. (1975). “Degrees of freedom” and the case study. Comparative Political Studies, 8 (2), 178–193.

Carlson, J. (2010). Commentary: Writing about clients—ethical and professional issues in clinical case reports. Counseling and Values, 54 (2), 154–157.

Cartwright, N. (2007). Are RCTs the gold standard? BioSocieties, 2 (1), 11–20.

Cartwright, N. (2011). A philosopher’s view of the long road from RCTs to effectiveness. Lancet, 377 (9775), 1400–1401.

Charlton, B. G., & Walston, F. (1998). Individual case studies in clinical research. Journal of Evaluation in Clinical Practice, 4 (2), 147–155.

Colombo, D., & Michels, R. (2007). Can (should) case reports be written for research use? Psychoanalytic Inquiry, 27 (5), 640–649.

Damousi, J., Lang, B., & Sutton, K. (Eds.) (2015). Case studies and the dissemination of knowledge . London: Routledge Press.

Desmet, M., Meganck, R., Seybert, C., Willemsen, J., Geerardyn, F., Declercq, F., & Schindler, I. (2012). Psychoanalytic single cases published in ISI-ranked journals: The construction of an online archive. Psychotherapy and Psychosomatics, 82 (2), 120–121.

Dobson, P. J. (2001). Longitudinal case research: A critical realist perspective. Systemic Practice and Action Research, 14 (3), 283–296.

Dreyfus, H. L. (2008). On the internet . London: Routledge Press.

Dreyfus, H. L., & Dreyfus, S. E. (2005). Peripheral vision expertise in real world contexts. Organization Studies, 26 (5), 779–792.

Easton, G. (2010). Critical realism in case study research. Industrial Marketing Management, 39 (1), 118–128.

Edelson, M. (1985). The hermeneutic turn and the single case study in psychoanalysis. Psychoanalysis & Contemporary Thought, 8 , 567–614.

Feagin, J. R., Orum, A. M., & Sjoberg, G. (Eds.) (1991). A case for the case study . Chapel Hill: University of North Carolina Press.

Ferguson, H. (2016). Researching social work practice close up: Using ethnographic and mobile methods to understand encounters between social workers, children and families. British Journal of Social Work, 46 (1), 153–168.

Fisher, M. A. (2013). The ethics of conditional confidentiality: A practice model for mental health professionals . Oxford: Oxford University Press.

Book   Google Scholar  

Fleischman, J. (2002). Phineas Gage: A gruesome but true story about brain science . New York: Houghton Mifflin.

Floersch, J. (2000). Reading the case record: The oral and written narratives of social workers. Social Service Review, 74 (2), 169–192.

Floersch, J. (2002). Meds, money, and manners: The case management of severe mental illness . Columbia: Columbia University Press.

Floersch, J., & Longhofer, J. (2016). Social work and the scholastic fallacy. Investigacao Em Trabalho Social, 3 , 71–91. https://www.isssp.pt/si/web_base.gera_pagina?p_pagina=21798 .

Florek, A. G., & Dellavalle, R. P. (2016). Case reports in medical education: A platform for training medical students, residents, and fellows in scientific writing and critical thinking. Journal of Medical Case Reports, 10 (1), 1.

Flyvbjerg, B. (2001). Making social science matter: Why social inquiry fails and how it can succeed again . Cambridge: Cambridge University Press.

Flyvbjerg, B. (2006). Five misunderstandings about case-study research. Qualitative Inquiry, 12 (2), 219–245.

Flyvbjerg, B., Landman, T., & Schram, S. (Eds.). (2012). Real social science: Applied phronesis . Cambridge: Cambridge University Press.

Forrester, J. (1996). If p, then what? Thinking in cases. History of the Human Sciences, 9 (3), 1–25.

Forrester, J. (2007). On Kuhn’s case: Psychoanalysis and the paradigm. Critical Inquiry, 33 (4), 782–819.

Foucault, M. (1994). The birth of the clinic: An archaeology of medical perception . London: Routledge Press.

Freeman, W. J. (2000). How brains make up their minds . New York: Columbia University Press.

Freud, S. (1905). Fragment of an analysis of a case of hysteria. Standard Edition , 7 , 7–122.

Freud, S. (1909a). Analysis of a phobia in a five-year-old boy. Standard Edition , 10 , 5–147.

Freud, S. (1909b). Notes upon a case of obsessional neurosis. Standard Edition , 10 , 151–318.

Freud, S. (1911). Psycho-analytic notes on an autobiographical account of a case of paranoia (dementia paranoides). Standard Edition , 12 , 9–79.

Freud, S. (1918). From the history of an infantile neurosis. Standard Edition , 17 , 7–122.

George, A. L. & Bennett, A. (2004). Case studies and theory development in the social sciences. Cambridge, MA: MIT Press.

Gerring, J. (2004). What is a case study and what is it good for? American Political Science Review, 98 (02), 341–354.

Gerring, J. (2007a). Case study research: Principles and practices . New York: Cambridge University Press.

Gerring, J. (2007b). Is there a (viable) crucial-case method? Comparative Political Studies, 40 (3), 231–253.

Gilgun, J. F. (1994). A case for case studies in social work research. Social Work, 39 , 371–380.

Gottdiener, W. H., & Suh, J. J. (2012). Expanding the single-case study: A proposed psychoanalytic research program. The Psychoanalytic Review, 99 (1), 81–102.

Gupta, M. (2007). Does evidence-based medicine apply to psychiatry? Theoretical Medicine and Bioethics, 28 (2), 103–120.

Gupta, M. (2014). Is evidence-based psychiatry ethical? Oxford: Oxford University Press.

Gwande, A. (2014). Being mortal: Medicine and what matters most in the end . New York: Metropolitan Books.

Haas, L. (2001). Phineas Gage and the science of brain localisation. Journal of Neurology, Neurosurgery, and Psychiatry, 71 (6), 761.

Article   PubMed   PubMed Central   Google Scholar  

Hacking, I. (1999). The social construction of what? Cambridge: Harvard University Press.

Haggis, T. (2008). ‘Knowledge must be contextual’: Some possible implications of complexity and dynamic systems theories for educational research. Educational Philosophy and Theory, 40 (1), 158–176.

Hare-Mustin, R. T. (1983). An appraisal of the relationship between women and psychotherapy: 80 years after the case of Dora. American Psychologist, 38 (5), 593–601.

Held, B. S. (2009). The logic of case-study methodology. Pragmatic Case Studies in Psychotherapy, 5 (3), 90–100.

Hoffman, I. Z. (2009). Doublethinking our way to “scientific” legitimacy: The desiccation of human experience. Journal of the American Psychoanalytic Association, 57 (5), 1043–1069.

Hollan, D., & Throop, C. J. (2008). Whatever happened to empathy?: Introduction. Ethos, 36 (4), 385–401.

Hurwitz, B. (2011). Clinical cases and case reports: Boundaries and porosities. The Case and the Canon. Anomalies, Discontinuities, Metaphors Between Science and Literature , 45–57.

Ioannidis, J. P., Haidich, A. B., & Lau, J. (2001). Any casualties in the clash of randomized and observational evidence? British Medical Journal, 322 , 879–880.

Iosifides, T. (2012). Migration research between positivistic scientism and relativism: A critical realist way out. In C. Vargas-Silva (Ed.), Handbook of research methods in migration (pp. 26–49). Cheltenham: Edward Elgar Publishing.

Kächele, H., Schachter, J., & Thomä, H. (2011). From psychoanalytic narrative to empirical single case research: Implications for psychoanalytic practice (vol. 30). New York: Taylor & Francis.

Kantrowitz, J. L. (2004). Writing about patients: I. Ways of protecting confidentiality and analysts’ conflicts over choice of method. Journal of the American Psychoanalytic Association, 52 (1), 69–99.

Ketokivi, M., & Choi, T. (2014). Renaissance of case research as a scientific method. Journal of Operations Management, 32 (5), 232–240.

Kitchin, R. (2014a). Big data, new epistemologies and paradigm shifts. Big Data & Society, 1 (1), 1–12.

Kitchin, R. (2014b). The data revolution: Big data, open data, data infrastructures and their consequences . Thousand Oaks, CA: Sage Press.

Kitchin, R., & Lauriault, T. P. (2015). Small data in the era of big data. GeoJournal, 80 (4), 463–475.

Koenig, G. (2009). Realistic evaluation and case studies stretching the potential. Evaluation, 15 (1), 9–30.

Lahire, B. (2011). The plural actor . Cambridge: Polity.

Leong, S. M. (1985). Metatheory and metamethodology in marketing, a lakatosian reconstruction. Journal of Marketing, 49 (4), 23–40.

Levy, J. S. (2008). Case studies: Types, designs, and logics of inference. Conflict Management and Peace Science, 25 (1), 1–18.

Longhofer, J., & Floersch, J. (2012). The coming crisis in social work: Some thoughts on social work and science. Research on Social Work Practice, 22 (5), 499–519.

Longhofer, J., & Floersch, J. (2014). Values in a science of social work: Values-informed research and research-informed values. Research on Social Work Practice, 24 (5), 527–534.

Longhofer, J., Floersch, J., & Hoy, J. (2013). Qualitative methods for practice research. Oxford: Oxford University Press.

Luyten, P., Corveleyn, J., & Blatt, S. J. (2006). Minding the gap between positivism and hermeneutics in psychoanalytic research. Journal of the American Psychoanalytic Association, 54 (2), 571–610.

Macmillan, M. (2000). Restoring phineas gage: A 150th retrospective. Journal of the History of the Neurosciences, 9 (1), 46–66.

Mahoney, J., Kimball, E., & Koivu, K. L. (2009). The logic of historical explanation in the social sciences. Comparative Political Studies, 42 (1), 114–146.

Marchal, B., Westhorp, G., Wong, G., Van Belle, S., Greenhalgh, T., Kegels, G., & Pawson, R. (2013). Realist RCTs of complex interventions: An oxymoron. Social Science & Medicine, 94 (12), 124–128.

Maroglin, L. (1997). Under the cover of kindness. The invention of social work . Charlottesville: University Press of Virginia.

McKeown, A. (2015). Critical realism and empirical bioethics: A methodological exposition. Health Care Analysis, 1–21. doi: 10.1007/s10728-015-0290-2 .

McLeod, J. (2010). Case study research in counseling and psychotherapy . Thousand Oaks, LA: Sage Publications.

McLeod, J. (2015). Reading case studies to inform therapeutic practice. In Psychotherapie forum (vol. 20, No. 1–2, pp. 3–9). Vienna: Springer.

McLeod, J., & Balamoutsou, S. (1996). Representing narrative process in therapy: Qualitative analysis of a single case. Counseling Psychology Quarterly, 9 (1), 61–76.

Mearsheimer, J. J., & Walt, S. M. (2013). Leaving theory behind: Why simplistic hypothesis testing is bad for international relations. European Journal of International Relations, 19 (3), 427–457.

Michels, R. (2000). The case history. Journal of the American Psychoanalytic Association, 48 (2), 355–375.

Miller, E. (2009). Writing about patients: What clinical and literary writers share. Journal of the American Psychoanalytic Association, 57 (5), 1097–1120.

Mingers, J. (2004). Realizing information systems: Critical realism as an underpinning philosophy for information systems. Information and Organization, 14 (2), 87–103.

Mishna, F. (2004). A qualitative study of bullying from multiple perspectives. Children & Schools, 26 (4), 234–247.

Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society , 3(2), 2053951716679679

Morgan, M. S. (2012). Case studies: One observation or many? Justification or discovery? Philosophy of Science, 79 (5), 667–677.

Naiburg, S. (2015). Structure and spontaneity in clinical prose: A writer’s guide for psychoanalysts and psychotherapists . London: Routledge Press.

Nissen, T., & Wynn, R. (2014a). The clinical case report: A review of its merits and limitations. BMC Research Notes, 7 (1), 1–7.

Nissen, T., & Wynn, R. (2014b). The history of the case report: A selective review. Journal of the Royal Society of Medicine Open, 5 (4), 1–5. doi: 10.1177/2054270414523410 .

O’Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy . New York: Crown Publishing Group.

Payne, S., Field, D., Rolls, L., Hawker, S., & Kerr, C. (2007). Case study research methods in end-of-life care: Reflections on three studies. Journal of Advanced Nursing, 58 (3), 236–245.

Perry, C. (1998). Processes of a case study methodology for postgraduate research in marketing. European Journal of Marketing, 32 (9/10), 785–802.

Pinter, H. (1982). A kind of alaska: A premier . Retrieved from http://www.haroldpinter.org/plays/plays_alaska.shtml .

Probst, B. (2015). The eye regards itself: Benefits and challenges of reflexivity in qualitative social work research. Social Work Research Social Work Research , 39 (1), 37–48.

Romano, C. (2015). Freud and the Dora case: A promise betrayed . London: Karnac Books.

Ruddin, L. P. (2006). You can generalize stupid! Social scientists, Bent Flyvbjerg, and case study methodology. Qualitative Inquiry, 12 (4), 797–812.

Sacks, O. (1970). The man who mistook his wife for a hat . New York: Touchstone.

Sacks, O. (1995). An anthropologist on mars: Seven paradoxical tales . New York: Alfred A. Knopf.

Sacks, O. (2015). On the move: A life . New York: Alfred A. Knopf.

Safran, J. D. (2009). Clinical and empirical issues: Disagreements and agreements. Journal of the American Psychoanalytic Association, 57 (5), 1043–1069.

Sampson, R. J. (2010). Gold standard myths: Observations on the experimental turn in quantitative criminology. Journal of Quantitative Criminology, 26 (4), 489–500.

Sayer, A. (2011). Why things matter to people: Social science, values and ethical life . Cambridge: Cambridge University Press.

Shaw, E. (2013). Sacred cows and sleeping dogs: Confidentiality: Not as straightforward as we would have thought. Psychotherapy in Australia, 19 (4), 65–66.

Sieck, B. C. (2012). Obtaining clinical writing informed consent versus using client disguise and recommendations for practice. Psychotherapy, 49 (1), 3–11.

Siggelkow, N. (2007). Persuasion with case studies. Academy of Management Journal, 50 (1), 20–24.

Skocpol, T., & Sommers, M. (1980). The uses of comparative theory in macrosocial inquiry. Comparative Studies in Society and History, 22 (2), 174–197.

Smith, C. (2011). What is a person?: Rethinking humanity, social life, and the moral good from the personup . Chicago: University of Chicago Press.

Sperry, L., & Pies, R. (2010). Writing about clients: Ethical considerations and options. Counseling and Values, 54 (2), 88–102.

Steinmetz, G. (2004). Odious comparisons: Incommensurability, the case study, and “small N’s” in sociology. Sociological Theory, 22 (3), 371–400.

Steinmetz, G. (2005). The politics of method in the human. In G. Steinmetz (Ed.), Sciences . Durham, NC: Duke University Press.

Sutherland, E. (2016). The case study in telecommunications policy research. Info, 18 (1), 16–30.

Taylor, C., & White, S. (2001). Knowledge, truth and reflexivity: The problem of judgement in social work. Journal of social work , 1 (1), 37–59.

Taylor, C., & White, S. (2006). Knowledge and reasoning in social work: Educating for humane judgement. British Journal of Social Work , 36 (6), 937–954.

Thacher, D. (2006). The Normative Case Study 1. American journal of sociology , 111 (6), 1631–1676.

Tice, K. W. (1998). Tales of wayward girls and immoral women: Case records and the professionalization of social work . Chicago: University of Illinois Press.

Tsang, E. W. (2014). Case studies and generalization in information systems research: A critical realist perspective. The Journal of Strategic Information Systems, 23 (2), 174–186.

Tsang, E. W. (2014). Generalizing from research findings: The merits of case studies. International Journal of Management Reviews, 16 (4), 369–383.

Tufekci, Z. (2015). Algorithmic harms beyond Facebook and Google: Emergent challenges of computational agency. Journal on Telecommunication, 13 , 203–218.

Van de Ven, A. H. (2007). Engaged scholarship: A guide for organizational and social research: A guide for organizational and social research . Oxford: Oxford University Press.

Van Haselen, R. A. (2015). Towards improving the reporting quality of clinical case reports in complementary medicine: Assessing and illustrating the need for guideline development. Complementary Therapies in Medicine, 23 (2), 141–148.

Welch, C., Piekkari, R., Plakoyiannaki, E., & Paavilainen-Mäntymäki, E. (2011). Theorising from case studies: Towards a pluralist future for international business research. Journal of International Business Studies, 42 (5), 740–762.

Wilgus, J., & Wilgus, B. (2009). Face to face with Phineas Gage. Journal of the History of the Neurosciences, 18 (3), 340–345.

Willemsen, J., Cornelis, S., Geerardyn, F. M., Desmet, M., Meganck, R., Inslegers, R., & Cauwe, J. M. (2015). Theoretical pluralism in psychoanalytic case studies. Frontiers in Psychology, 6 , 1466

Willemsen, J., Della Rosa, E., & Kegerreis, S. (2017). Clinical case studies in psychoanalytic and psychodynamic treatment. Frontiers in Psychology, 8 , 1–7. doi: 10.3389/fpsyg.2017.00108 .

Winship, G. (2007). The ethics of reflective research in single case study inquiry. Perspectives in Psychiatric Care, 43 (4), 174–182.

Wolpert, L., & Fonagy, P. (2009). There is no place for the psychoanalytic case report in the British Journal of Psychiatry. The British Journal of Psychiatry, 195 , 483–487.

Woolcock, M. (2013). Using case studies to explore the external validity of ‘complex’ development interventions. Evaluation, 19 (3), 229–248.

Wynn, D. Jr., & Williams, C. K. (2012). Principles for conducting critical realist case study research in information systems. Mis Quarterly, 36 (3), 787–810.

Yang, D. D. (2006). Empirical social inquiry and models of causal inference. The New England Journal of Political Science, 2 (1), 51–88.

Download references

Author information

Authors and affiliations.

Rutgers School of Social Work, New Brunswick, USA

Jeffrey Longhofer & Jerry Floersch

DSW Program, Rutgers School of Social Work, New Brunswick, USA

Eric Hartmann

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to Jeffrey Longhofer .

Rights and permissions

Reprints and permissions

About this article

Longhofer, J., Floersch, J. & Hartmann, E. A Case for the Case Study: How and Why They Matter. Clin Soc Work J 45 , 189–200 (2017). https://doi.org/10.1007/s10615-017-0631-8

Download citation

Published : 06 June 2017

Issue Date : September 2017

DOI : https://doi.org/10.1007/s10615-017-0631-8

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

  • Case study research
  • Critical realism
  • Psychoanaltyic case study
  • Social work clinical research
  • Find a journal
  • Publish with us
  • Track your research

case study method work

Case Study Research: Methods and Designs

Case study research is a type of qualitative research design. It’s often used in the social sciences because it involves…

Case Study Method

Case study research is a type of qualitative research design. It’s often used in the social sciences because it involves observing subjects, or cases, in their natural setting, with minimal interference from the researcher.

In the case study method , researchers pose a specific question about an individual or group to test their theories or hypothesis. This can be done by gathering data from interviews with key informants.

Here’s what you need to know about case study research design .

What Is The Case Study Method?

Main approaches to data collection, case study research methods, how case studies are used, case study model.

Case study research is a great way to understand the nuances of a matter that can get lost in quantitative research methods. A case study is distinct from other qualitative studies in the following ways:

  • It’s interested in the effect of a set of circumstances on an individual or group.
  • It begins with a specific question about one or more cases.
  • It focuses on individual accounts and experiences.

Here are the primary features of case study research:

  • Case study research methods typically involve the researcher asking a few questions of one person or a small number of people—known as respondents—to test one hypothesis.
  • Case study in research methodology may apply triangulation to collect data, in which the researcher uses several sources, including documents and field data. This is then analyzed and interpreted to form a hypothesis that can be tested through further research or validated by other researchers.
  • The case study method requires clear concepts and theories to guide its methods. A well-defined research question is crucial when conducting a case study because the results of the study depend on it. The best approach to answering a research question is to challenge the existing theories, hypotheses or assumptions.
  • Concepts are defined using objective language with no reference to preconceived notions that individuals might have about them. The researcher sets out to discover by asking specific questions on how people think or perceive things in their given situation.

They commonly use the case study method in business, management, psychology, sociology, political science and other related fields.

A fundamental requirement of qualitative research is recording observations that provide an understanding of reality. When it comes to the case study method, there are two major approaches that can be used to collect data: document review and fieldwork.

A case study in research methodology also includes literature review, the process by which the researcher collects all data available through historical documents. These might include books, newspapers, journals, videos, photographs and other written material. The researcher may also record information using video cameras to capture events as they occur. The researcher can also go through materials produced by people involved in the case study to gain an insight into their lives and experiences.

Field research involves participating in interviews and observations directly. Observation can be done during telephone interviews, events or public meetings, visits to homes or workplaces, or by shadowing someone for a period of time. The researcher can conduct one-on-one interviews with individuals or group interviews where several people are interviewed at once.

Let’s look now at case study methodology.

The case study method can be divided into three stages: formulation of objectives; collection of data; and analysis and interpretation. The researcher first makes a judgment about what should be studied based on their knowledge. Next, they gather data through observations and interviews. Here are some of the common case study research methods:

One of the most basic methods is the survey. Respondents are asked to complete a questionnaire with open-ended and predetermined questions. It usually takes place through face-to-face interviews, mailed questionnaires or telephone interviews. It can even be done by an online survey.

2. Semi-structured Interview

For case study research a more complex method is the semi-structured interview. This involves the researcher learning about the topic by listening to what others have to say. This usually occurs through one-on-one interviews with the sample. Semi-structured interviews allow for greater flexibility and can obtain information that structured questionnaires can’t.

3. Focus Group Interview

Another method is the focus group interview, where the researcher asks a few people to take part in an open-ended discussion on certain themes or topics. The typical group size is 5–15 people. This method allows researchers to delve deeper into people’s opinions, views and experiences.

4. Participant Observation

Participant observation is another method that involves the researcher gaining insight into an experience by joining in and taking part in normal events. The people involved don’t always know they’re being studied, but the researcher observes and records what happens through field notes.

Case study research design can use one or several of these methods depending on the context.

Case studies are widely used in the social sciences. To understand the impact of socio-economic forces, interpersonal dynamics and other human conditions, sometimes there’s no other way than to study one case at a time and look for patterns and data afterward.

It’s for the same reasons that case studies are used in business. Here are a few uses:

  • Case studies can be used as tools to educate and give examples of situations and problems that might occur and how they were resolved. They can also be used for strategy development and implementation.
  • Case studies can evaluate the success of a program or project. They can help teams improve their collaboration by identifying areas that need improvements, such as team dynamics, communication, roles and responsibilities and leadership styles.
  • Case studies can explore how people’s experiences affect the working environment. Because the study involves observing and analyzing concrete details of life, they can inform theories on how an individual or group interacts with their environment.
  • Case studies can evaluate the sustainability of businesses. They’re useful for social, environmental and economic impact studies because they look at all aspects of a business or organization. This gives researchers a holistic view of the dynamics within an organization.
  • We can use case studies to identify problems in organizations or businesses. They can help spot problems that are invisible to customers, investors, managers and employees.
  • Case studies are used in education to show students how real-world issues or events can be sorted out. This enables students to identify and deal with similar situations in their lives.

And that’s not all. Case studies are incredibly versatile, which is why they’re used so widely.

Human beings are complex and they interact with each other in their everyday life in various ways. The researcher observes a case and tries to find out how the patterns of behavior are created, including their causal relations. Case studies help understand one or more specific events that have been observed. Here are some common methods:

1. Illustrative case study

This is where the researcher observes a group of people doing something. Studying an event or phenomenon this way can show cause-and-effect relationships between various variables.

2. Cumulative case study

A cumulative case study is one that involves observing the same set of phenomena over a period. Cumulative case studies can be very helpful in understanding processes, which are things that happen over time. For example, if there are behavioral changes in people who move from one place to another, the researcher might want to know why these changes occurred.

3. Exploratory case study

An exploratory case study collects information that will answer a question. It can help researchers better understand social, economic, political or other social phenomena.

There are several other ways to categorize case studies. They may be chronological case studies, where a researcher observes events over time. In the comparative case study, the researcher compares one or more groups of people, places, or things to draw conclusions about them. In an intervention case study, the researcher intervenes to change the behavior of the subjects. The study method depends on the needs of the research team.

Deciding how to analyze the information at our disposal is an important part of effective management. An understanding of the case study model can help. With Harappa’s Thinking Critically course, managers and young professionals receive input and training on how to level up their analytic skills. Knowledge of frameworks, reading real-life examples and lived wisdom of faculty come together to create a dynamic and exciting course that helps teams leap to the next level.

Explore Harappa Diaries to learn more about topics such as Objectives Of Research , What are Qualitative Research Methods , How To Make A Problem Statement and How To Improve your Cognitive Skills to upgrade your knowledge and skills.

Thriversitybannersidenav

  • Business Essentials
  • Leadership & Management
  • Credential of Leadership, Impact, and Management in Business (CLIMB)
  • Entrepreneurship & Innovation
  • *New* Digital Transformation
  • Finance & Accounting
  • Business in Society
  • For Organizations
  • Support Portal
  • Media Coverage
  • Founding Donors
  • Leadership Team

case study method work

  • Harvard Business School →
  • HBS Online →
  • Business Insights →

Business Insights

Harvard Business School Online's Business Insights Blog provides the career insights you need to achieve your goals and gain confidence in your business skills.

  • Career Development
  • Communication
  • Decision-Making
  • Earning Your MBA
  • Negotiation
  • News & Events
  • Productivity
  • Staff Spotlight
  • Student Profiles
  • Work-Life Balance
  • Alternative Investments
  • Business Analytics
  • Business Strategy
  • Business and Climate Change
  • Design Thinking and Innovation
  • Digital Marketing Strategy
  • Disruptive Strategy
  • Economics for Managers
  • Entrepreneurship Essentials
  • Financial Accounting
  • Global Business
  • Launching Tech Ventures
  • Leadership Principles
  • Leadership, Ethics, and Corporate Accountability
  • Leading with Finance
  • Management Essentials
  • Negotiation Mastery
  • Organizational Leadership
  • Power and Influence for Positive Impact
  • Strategy Execution
  • Sustainable Business Strategy
  • Sustainable Investing
  • Winning with Digital Platforms

5 Benefits of Learning Through the Case Study Method

Harvard Business School MBA students learning through the case study method

  • 28 Nov 2023

While several factors make HBS Online unique —including a global Community and real-world outcomes —active learning through the case study method rises to the top.

In a 2023 City Square Associates survey, 74 percent of HBS Online learners who also took a course from another provider said HBS Online’s case method and real-world examples were better by comparison.

Here’s a primer on the case method, five benefits you could gain, and how to experience it for yourself.

Access your free e-book today.

What Is the Harvard Business School Case Study Method?

The case study method , or case method , is a learning technique in which you’re presented with a real-world business challenge and asked how you’d solve it. After working through it yourself and with peers, you’re told how the scenario played out.

HBS pioneered the case method in 1922. Shortly before, in 1921, the first case was written.

“How do you go into an ambiguous situation and get to the bottom of it?” says HBS Professor Jan Rivkin, former senior associate dean and chair of HBS's master of business administration (MBA) program, in a video about the case method . “That skill—the skill of figuring out a course of inquiry to choose a course of action—that skill is as relevant today as it was in 1921.”

Originally developed for the in-person MBA classroom, HBS Online adapted the case method into an engaging, interactive online learning experience in 2014.

In HBS Online courses , you learn about each case from the business professional who experienced it. After reviewing their videos, you’re prompted to take their perspective and explain how you’d handle their situation.

You then get to read peers’ responses, “star” them, and comment to further the discussion. Afterward, you learn how the professional handled it and their key takeaways.

HBS Online’s adaptation of the case method incorporates the famed HBS “cold call,” in which you’re called on at random to make a decision without time to prepare.

“Learning came to life!” said Sheneka Balogun , chief administration officer and chief of staff at LeMoyne-Owen College, of her experience taking the Credential of Readiness (CORe) program . “The videos from the professors, the interactive cold calls where you were randomly selected to participate, and the case studies that enhanced and often captured the essence of objectives and learning goals were all embedded in each module. This made learning fun, engaging, and student-friendly.”

If you’re considering taking a course that leverages the case study method, here are five benefits you could experience.

5 Benefits of Learning Through Case Studies

1. take new perspectives.

The case method prompts you to consider a scenario from another person’s perspective. To work through the situation and come up with a solution, you must consider their circumstances, limitations, risk tolerance, stakeholders, resources, and potential consequences to assess how to respond.

Taking on new perspectives not only can help you navigate your own challenges but also others’. Putting yourself in someone else’s situation to understand their motivations and needs can go a long way when collaborating with stakeholders.

2. Hone Your Decision-Making Skills

Another skill you can build is the ability to make decisions effectively . The case study method forces you to use limited information to decide how to handle a problem—just like in the real world.

Throughout your career, you’ll need to make difficult decisions with incomplete or imperfect information—and sometimes, you won’t feel qualified to do so. Learning through the case method allows you to practice this skill in a low-stakes environment. When facing a real challenge, you’ll be better prepared to think quickly, collaborate with others, and present and defend your solution.

3. Become More Open-Minded

As you collaborate with peers on responses, it becomes clear that not everyone solves problems the same way. Exposing yourself to various approaches and perspectives can help you become a more open-minded professional.

When you’re part of a diverse group of learners from around the world, your experiences, cultures, and backgrounds contribute to a range of opinions on each case.

On the HBS Online course platform, you’re prompted to view and comment on others’ responses, and discussion is encouraged. This practice of considering others’ perspectives can make you more receptive in your career.

“You’d be surprised at how much you can learn from your peers,” said Ratnaditya Jonnalagadda , a software engineer who took CORe.

In addition to interacting with peers in the course platform, Jonnalagadda was part of the HBS Online Community , where he networked with other professionals and continued discussions sparked by course content.

“You get to understand your peers better, and students share examples of businesses implementing a concept from a module you just learned,” Jonnalagadda said. “It’s a very good way to cement the concepts in one's mind.”

4. Enhance Your Curiosity

One byproduct of taking on different perspectives is that it enables you to picture yourself in various roles, industries, and business functions.

“Each case offers an opportunity for students to see what resonates with them, what excites them, what bores them, which role they could imagine inhabiting in their careers,” says former HBS Dean Nitin Nohria in the Harvard Business Review . “Cases stimulate curiosity about the range of opportunities in the world and the many ways that students can make a difference as leaders.”

Through the case method, you can “try on” roles you may not have considered and feel more prepared to change or advance your career .

5. Build Your Self-Confidence

Finally, learning through the case study method can build your confidence. Each time you assume a business leader’s perspective, aim to solve a new challenge, and express and defend your opinions and decisions to peers, you prepare to do the same in your career.

According to a 2022 City Square Associates survey , 84 percent of HBS Online learners report feeling more confident making business decisions after taking a course.

“Self-confidence is difficult to teach or coach, but the case study method seems to instill it in people,” Nohria says in the Harvard Business Review . “There may well be other ways of learning these meta-skills, such as the repeated experience gained through practice or guidance from a gifted coach. However, under the direction of a masterful teacher, the case method can engage students and help them develop powerful meta-skills like no other form of teaching.”

Your Guide to Online Learning Success | Download Your Free E-Book

How to Experience the Case Study Method

If the case method seems like a good fit for your learning style, experience it for yourself by taking an HBS Online course. Offerings span seven subject areas, including:

  • Business essentials
  • Leadership and management
  • Entrepreneurship and innovation
  • Finance and accounting
  • Business in society

No matter which course or credential program you choose, you’ll examine case studies from real business professionals, work through their challenges alongside peers, and gain valuable insights to apply to your career.

Are you interested in discovering how HBS Online can help advance your career? Explore our course catalog and download our free guide —complete with interactive workbook sections—to determine if online learning is right for you and which course to take.

case study method work

About the Author

Organizing Your Social Sciences Research Assignments

  • Annotated Bibliography
  • Analyzing a Scholarly Journal Article
  • Group Presentations
  • Dealing with Nervousness
  • Using Visual Aids
  • Grading Someone Else's Paper
  • Types of Structured Group Activities
  • Group Project Survival Skills
  • Leading a Class Discussion
  • Multiple Book Review Essay
  • Reviewing Collected Works
  • Writing a Case Analysis Paper
  • Writing a Case Study
  • About Informed Consent
  • Writing Field Notes
  • Writing a Policy Memo
  • Writing a Reflective Paper
  • Writing a Research Proposal
  • Generative AI and Writing
  • Acknowledgments

Definition and Introduction

Case analysis is a problem-based teaching and learning method that involves critically analyzing complex scenarios within an organizational setting for the purpose of placing the student in a “real world” situation and applying reflection and critical thinking skills to contemplate appropriate solutions, decisions, or recommended courses of action. It is considered a more effective teaching technique than in-class role playing or simulation activities. The analytical process is often guided by questions provided by the instructor that ask students to contemplate relationships between the facts and critical incidents described in the case.

Cases generally include both descriptive and statistical elements and rely on students applying abductive reasoning to develop and argue for preferred or best outcomes [i.e., case scenarios rarely have a single correct or perfect answer based on the evidence provided]. Rather than emphasizing theories or concepts, case analysis assignments emphasize building a bridge of relevancy between abstract thinking and practical application and, by so doing, teaches the value of both within a specific area of professional practice.

Given this, the purpose of a case analysis paper is to present a structured and logically organized format for analyzing the case situation. It can be assigned to students individually or as a small group assignment and it may include an in-class presentation component. Case analysis is predominately taught in economics and business-related courses, but it is also a method of teaching and learning found in other applied social sciences disciplines, such as, social work, public relations, education, journalism, and public administration.

Ellet, William. The Case Study Handbook: A Student's Guide . Revised Edition. Boston, MA: Harvard Business School Publishing, 2018; Christoph Rasche and Achim Seisreiner. Guidelines for Business Case Analysis . University of Potsdam; Writing a Case Analysis . Writing Center, Baruch College; Volpe, Guglielmo. "Case Teaching in Economics: History, Practice and Evidence." Cogent Economics and Finance 3 (December 2015). doi:https://doi.org/10.1080/23322039.2015.1120977.

How to Approach Writing a Case Analysis Paper

The organization and structure of a case analysis paper can vary depending on the organizational setting, the situation, and how your professor wants you to approach the assignment. Nevertheless, preparing to write a case analysis paper involves several important steps. As Hawes notes, a case analysis assignment “...is useful in developing the ability to get to the heart of a problem, analyze it thoroughly, and to indicate the appropriate solution as well as how it should be implemented” [p.48]. This statement encapsulates how you should approach preparing to write a case analysis paper.

Before you begin to write your paper, consider the following analytical procedures:

  • Review the case to get an overview of the situation . A case can be only a few pages in length, however, it is most often very lengthy and contains a significant amount of detailed background information and statistics, with multilayered descriptions of the scenario, the roles and behaviors of various stakeholder groups, and situational events. Therefore, a quick reading of the case will help you gain an overall sense of the situation and illuminate the types of issues and problems that you will need to address in your paper. If your professor has provided questions intended to help frame your analysis, use them to guide your initial reading of the case.
  • Read the case thoroughly . After gaining a general overview of the case, carefully read the content again with the purpose of understanding key circumstances, events, and behaviors among stakeholder groups. Look for information or data that appears contradictory, extraneous, or misleading. At this point, you should be taking notes as you read because this will help you develop a general outline of your paper. The aim is to obtain a complete understanding of the situation so that you can begin contemplating tentative answers to any questions your professor has provided or, if they have not provided, developing answers to your own questions about the case scenario and its connection to the course readings,lectures, and class discussions.
  • Determine key stakeholder groups, issues, and events and the relationships they all have to each other . As you analyze the content, pay particular attention to identifying individuals, groups, or organizations described in the case and identify evidence of any problems or issues of concern that impact the situation in a negative way. Other things to look for include identifying any assumptions being made by or about each stakeholder, potential biased explanations or actions, explicit demands or ultimatums , and the underlying concerns that motivate these behaviors among stakeholders. The goal at this stage is to develop a comprehensive understanding of the situational and behavioral dynamics of the case and the explicit and implicit consequences of each of these actions.
  • Identify the core problems . The next step in most case analysis assignments is to discern what the core [i.e., most damaging, detrimental, injurious] problems are within the organizational setting and to determine their implications. The purpose at this stage of preparing to write your analysis paper is to distinguish between the symptoms of core problems and the core problems themselves and to decide which of these must be addressed immediately and which problems do not appear critical but may escalate over time. Identify evidence from the case to support your decisions by determining what information or data is essential to addressing the core problems and what information is not relevant or is misleading.
  • Explore alternative solutions . As noted, case analysis scenarios rarely have only one correct answer. Therefore, it is important to keep in mind that the process of analyzing the case and diagnosing core problems, while based on evidence, is a subjective process open to various avenues of interpretation. This means that you must consider alternative solutions or courses of action by critically examining strengths and weaknesses, risk factors, and the differences between short and long-term solutions. For each possible solution or course of action, consider the consequences they may have related to their implementation and how these recommendations might lead to new problems. Also, consider thinking about your recommended solutions or courses of action in relation to issues of fairness, equity, and inclusion.
  • Decide on a final set of recommendations . The last stage in preparing to write a case analysis paper is to assert an opinion or viewpoint about the recommendations needed to help resolve the core problems as you see them and to make a persuasive argument for supporting this point of view. Prepare a clear rationale for your recommendations based on examining each element of your analysis. Anticipate possible obstacles that could derail their implementation. Consider any counter-arguments that could be made concerning the validity of your recommended actions. Finally, describe a set of criteria and measurable indicators that could be applied to evaluating the effectiveness of your implementation plan.

Use these steps as the framework for writing your paper. Remember that the more detailed you are in taking notes as you critically examine each element of the case, the more information you will have to draw from when you begin to write. This will save you time.

NOTE : If the process of preparing to write a case analysis paper is assigned as a student group project, consider having each member of the group analyze a specific element of the case, including drafting answers to the corresponding questions used by your professor to frame the analysis. This will help make the analytical process more efficient and ensure that the distribution of work is equitable. This can also facilitate who is responsible for drafting each part of the final case analysis paper and, if applicable, the in-class presentation.

Framework for Case Analysis . College of Management. University of Massachusetts; Hawes, Jon M. "Teaching is Not Telling: The Case Method as a Form of Interactive Learning." Journal for Advancement of Marketing Education 5 (Winter 2004): 47-54; Rasche, Christoph and Achim Seisreiner. Guidelines for Business Case Analysis . University of Potsdam; Writing a Case Study Analysis . University of Arizona Global Campus Writing Center; Van Ness, Raymond K. A Guide to Case Analysis . School of Business. State University of New York, Albany; Writing a Case Analysis . Business School, University of New South Wales.

Structure and Writing Style

A case analysis paper should be detailed, concise, persuasive, clearly written, and professional in tone and in the use of language . As with other forms of college-level academic writing, declarative statements that convey information, provide a fact, or offer an explanation or any recommended courses of action should be based on evidence. If allowed by your professor, any external sources used to support your analysis, such as course readings, should be properly cited under a list of references. The organization and structure of case analysis papers can vary depending on your professor’s preferred format, but its structure generally follows the steps used for analyzing the case.

Introduction

The introduction should provide a succinct but thorough descriptive overview of the main facts, issues, and core problems of the case . The introduction should also include a brief summary of the most relevant details about the situation and organizational setting. This includes defining the theoretical framework or conceptual model on which any questions were used to frame your analysis.

Following the rules of most college-level research papers, the introduction should then inform the reader how the paper will be organized. This includes describing the major sections of the paper and the order in which they will be presented. Unless you are told to do so by your professor, you do not need to preview your final recommendations in the introduction. U nlike most college-level research papers , the introduction does not include a statement about the significance of your findings because a case analysis assignment does not involve contributing new knowledge about a research problem.

Background Analysis

Background analysis can vary depending on any guiding questions provided by your professor and the underlying concept or theory that the case is based upon. In general, however, this section of your paper should focus on:

  • Providing an overarching analysis of problems identified from the case scenario, including identifying events that stakeholders find challenging or troublesome,
  • Identifying assumptions made by each stakeholder and any apparent biases they may exhibit,
  • Describing any demands or claims made by or forced upon key stakeholders, and
  • Highlighting any issues of concern or complaints expressed by stakeholders in response to those demands or claims.

These aspects of the case are often in the form of behavioral responses expressed by individuals or groups within the organizational setting. However, note that problems in a case situation can also be reflected in data [or the lack thereof] and in the decision-making, operational, cultural, or institutional structure of the organization. Additionally, demands or claims can be either internal and external to the organization [e.g., a case analysis involving a president considering arms sales to Saudi Arabia could include managing internal demands from White House advisors as well as demands from members of Congress].

Throughout this section, present all relevant evidence from the case that supports your analysis. Do not simply claim there is a problem, an assumption, a demand, or a concern; tell the reader what part of the case informed how you identified these background elements.

Identification of Problems

In most case analysis assignments, there are problems, and then there are problems . Each problem can reflect a multitude of underlying symptoms that are detrimental to the interests of the organization. The purpose of identifying problems is to teach students how to differentiate between problems that vary in severity, impact, and relative importance. Given this, problems can be described in three general forms: those that must be addressed immediately, those that should be addressed but the impact is not severe, and those that do not require immediate attention and can be set aside for the time being.

All of the problems you identify from the case should be identified in this section of your paper, with a description based on evidence explaining the problem variances. If the assignment asks you to conduct research to further support your assessment of the problems, include this in your explanation. Remember to cite those sources in a list of references. Use specific evidence from the case and apply appropriate concepts, theories, and models discussed in class or in relevant course readings to highlight and explain the key problems [or problem] that you believe must be solved immediately and describe the underlying symptoms and why they are so critical.

Alternative Solutions

This section is where you provide specific, realistic, and evidence-based solutions to the problems you have identified and make recommendations about how to alleviate the underlying symptomatic conditions impacting the organizational setting. For each solution, you must explain why it was chosen and provide clear evidence to support your reasoning. This can include, for example, course readings and class discussions as well as research resources, such as, books, journal articles, research reports, or government documents. In some cases, your professor may encourage you to include personal, anecdotal experiences as evidence to support why you chose a particular solution or set of solutions. Using anecdotal evidence helps promote reflective thinking about the process of determining what qualifies as a core problem and relevant solution .

Throughout this part of the paper, keep in mind the entire array of problems that must be addressed and describe in detail the solutions that might be implemented to resolve these problems.

Recommended Courses of Action

In some case analysis assignments, your professor may ask you to combine the alternative solutions section with your recommended courses of action. However, it is important to know the difference between the two. A solution refers to the answer to a problem. A course of action refers to a procedure or deliberate sequence of activities adopted to proactively confront a situation, often in the context of accomplishing a goal. In this context, proposed courses of action are based on your analysis of alternative solutions. Your description and justification for pursuing each course of action should represent the overall plan for implementing your recommendations.

For each course of action, you need to explain the rationale for your recommendation in a way that confronts challenges, explains risks, and anticipates any counter-arguments from stakeholders. Do this by considering the strengths and weaknesses of each course of action framed in relation to how the action is expected to resolve the core problems presented, the possible ways the action may affect remaining problems, and how the recommended action will be perceived by each stakeholder.

In addition, you should describe the criteria needed to measure how well the implementation of these actions is working and explain which individuals or groups are responsible for ensuring your recommendations are successful. In addition, always consider the law of unintended consequences. Outline difficulties that may arise in implementing each course of action and describe how implementing the proposed courses of action [either individually or collectively] may lead to new problems [both large and small].

Throughout this section, you must consider the costs and benefits of recommending your courses of action in relation to uncertainties or missing information and the negative consequences of success.

The conclusion should be brief and introspective. Unlike a research paper, the conclusion in a case analysis paper does not include a summary of key findings and their significance, a statement about how the study contributed to existing knowledge, or indicate opportunities for future research.

Begin by synthesizing the core problems presented in the case and the relevance of your recommended solutions. This can include an explanation of what you have learned about the case in the context of your answers to the questions provided by your professor. The conclusion is also where you link what you learned from analyzing the case with the course readings or class discussions. This can further demonstrate your understanding of the relationships between the practical case situation and the theoretical and abstract content of assigned readings and other course content.

Problems to Avoid

The literature on case analysis assignments often includes examples of difficulties students have with applying methods of critical analysis and effectively reporting the results of their assessment of the situation. A common reason cited by scholars is that the application of this type of teaching and learning method is limited to applied fields of social and behavioral sciences and, as a result, writing a case analysis paper can be unfamiliar to most students entering college.

After you have drafted your paper, proofread the narrative flow and revise any of these common errors:

  • Unnecessary detail in the background section . The background section should highlight the essential elements of the case based on your analysis. Focus on summarizing the facts and highlighting the key factors that become relevant in the other sections of the paper by eliminating any unnecessary information.
  • Analysis relies too much on opinion . Your analysis is interpretive, but the narrative must be connected clearly to evidence from the case and any models and theories discussed in class or in course readings. Any positions or arguments you make should be supported by evidence.
  • Analysis does not focus on the most important elements of the case . Your paper should provide a thorough overview of the case. However, the analysis should focus on providing evidence about what you identify are the key events, stakeholders, issues, and problems. Emphasize what you identify as the most critical aspects of the case to be developed throughout your analysis. Be thorough but succinct.
  • Writing is too descriptive . A paper with too much descriptive information detracts from your analysis of the complexities of the case situation. Questions about what happened, where, when, and by whom should only be included as essential information leading to your examination of questions related to why, how, and for what purpose.
  • Inadequate definition of a core problem and associated symptoms . A common error found in case analysis papers is recommending a solution or course of action without adequately defining or demonstrating that you understand the problem. Make sure you have clearly described the problem and its impact and scope within the organizational setting. Ensure that you have adequately described the root causes w hen describing the symptoms of the problem.
  • Recommendations lack specificity . Identify any use of vague statements and indeterminate terminology, such as, “A particular experience” or “a large increase to the budget.” These statements cannot be measured and, as a result, there is no way to evaluate their successful implementation. Provide specific data and use direct language in describing recommended actions.
  • Unrealistic, exaggerated, or unattainable recommendations . Review your recommendations to ensure that they are based on the situational facts of the case. Your recommended solutions and courses of action must be based on realistic assumptions and fit within the constraints of the situation. Also note that the case scenario has already happened, therefore, any speculation or arguments about what could have occurred if the circumstances were different should be revised or eliminated.

Bee, Lian Song et al. "Business Students' Perspectives on Case Method Coaching for Problem-Based Learning: Impacts on Student Engagement and Learning Performance in Higher Education." Education & Training 64 (2022): 416-432; The Case Analysis . Fred Meijer Center for Writing and Michigan Authors. Grand Valley State University; Georgallis, Panikos and Kayleigh Bruijn. "Sustainability Teaching using Case-Based Debates." Journal of International Education in Business 15 (2022): 147-163; Hawes, Jon M. "Teaching is Not Telling: The Case Method as a Form of Interactive Learning." Journal for Advancement of Marketing Education 5 (Winter 2004): 47-54; Georgallis, Panikos, and Kayleigh Bruijn. "Sustainability Teaching Using Case-based Debates." Journal of International Education in Business 15 (2022): 147-163; .Dean,  Kathy Lund and Charles J. Fornaciari. "How to Create and Use Experiential Case-Based Exercises in a Management Classroom." Journal of Management Education 26 (October 2002): 586-603; Klebba, Joanne M. and Janet G. Hamilton. "Structured Case Analysis: Developing Critical Thinking Skills in a Marketing Case Course." Journal of Marketing Education 29 (August 2007): 132-137, 139; Klein, Norman. "The Case Discussion Method Revisited: Some Questions about Student Skills." Exchange: The Organizational Behavior Teaching Journal 6 (November 1981): 30-32; Mukherjee, Arup. "Effective Use of In-Class Mini Case Analysis for Discovery Learning in an Undergraduate MIS Course." The Journal of Computer Information Systems 40 (Spring 2000): 15-23; Pessoa, Silviaet al. "Scaffolding the Case Analysis in an Organizational Behavior Course: Making Analytical Language Explicit." Journal of Management Education 46 (2022): 226-251: Ramsey, V. J. and L. D. Dodge. "Case Analysis: A Structured Approach." Exchange: The Organizational Behavior Teaching Journal 6 (November 1981): 27-29; Schweitzer, Karen. "How to Write and Format a Business Case Study." ThoughtCo. https://www.thoughtco.com/how-to-write-and-format-a-business-case-study-466324 (accessed December 5, 2022); Reddy, C. D. "Teaching Research Methodology: Everything's a Case." Electronic Journal of Business Research Methods 18 (December 2020): 178-188; Volpe, Guglielmo. "Case Teaching in Economics: History, Practice and Evidence." Cogent Economics and Finance 3 (December 2015). doi:https://doi.org/10.1080/23322039.2015.1120977.

Writing Tip

Ca se Study and Case Analysis Are Not the Same!

Confusion often exists between what it means to write a paper that uses a case study research design and writing a paper that analyzes a case; they are two different types of approaches to learning in the social and behavioral sciences. Professors as well as educational researchers contribute to this confusion because they often use the term "case study" when describing the subject of analysis for a case analysis paper. But you are not studying a case for the purpose of generating a comprehensive, multi-faceted understanding of a research problem. R ather, you are critically analyzing a specific scenario to argue logically for recommended solutions and courses of action that lead to optimal outcomes applicable to professional practice.

To avoid any confusion, here are twelve characteristics that delineate the differences between writing a paper using the case study research method and writing a case analysis paper:

  • Case study is a method of in-depth research and rigorous inquiry ; case analysis is a reliable method of teaching and learning . A case study is a modality of research that investigates a phenomenon for the purpose of creating new knowledge, solving a problem, or testing a hypothesis using empirical evidence derived from the case being studied. Often, the results are used to generalize about a larger population or within a wider context. The writing adheres to the traditional standards of a scholarly research study. A case analysis is a pedagogical tool used to teach students how to reflect and think critically about a practical, real-life problem in an organizational setting.
  • The researcher is responsible for identifying the case to study; a case analysis is assigned by your professor . As the researcher, you choose the case study to investigate in support of obtaining new knowledge and understanding about the research problem. The case in a case analysis assignment is almost always provided, and sometimes written, by your professor and either given to every student in class to analyze individually or to a small group of students, or students select a case to analyze from a predetermined list.
  • A case study is indeterminate and boundless; a case analysis is predetermined and confined . A case study can be almost anything [see item 9 below] as long as it relates directly to examining the research problem. This relationship is the only limit to what a researcher can choose as the subject of their case study. The content of a case analysis is determined by your professor and its parameters are well-defined and limited to elucidating insights of practical value applied to practice.
  • Case study is fact-based and describes actual events or situations; case analysis can be entirely fictional or adapted from an actual situation . The entire content of a case study must be grounded in reality to be a valid subject of investigation in an empirical research study. A case analysis only needs to set the stage for critically examining a situation in practice and, therefore, can be entirely fictional or adapted, all or in-part, from an actual situation.
  • Research using a case study method must adhere to principles of intellectual honesty and academic integrity; a case analysis scenario can include misleading or false information . A case study paper must report research objectively and factually to ensure that any findings are understood to be logically correct and trustworthy. A case analysis scenario may include misleading or false information intended to deliberately distract from the central issues of the case. The purpose is to teach students how to sort through conflicting or useless information in order to come up with the preferred solution. Any use of misleading or false information in academic research is considered unethical.
  • Case study is linked to a research problem; case analysis is linked to a practical situation or scenario . In the social sciences, the subject of an investigation is most often framed as a problem that must be researched in order to generate new knowledge leading to a solution. Case analysis narratives are grounded in real life scenarios for the purpose of examining the realities of decision-making behavior and processes within organizational settings. A case analysis assignments include a problem or set of problems to be analyzed. However, the goal is centered around the act of identifying and evaluating courses of action leading to best possible outcomes.
  • The purpose of a case study is to create new knowledge through research; the purpose of a case analysis is to teach new understanding . Case studies are a choice of methodological design intended to create new knowledge about resolving a research problem. A case analysis is a mode of teaching and learning intended to create new understanding and an awareness of uncertainty applied to practice through acts of critical thinking and reflection.
  • A case study seeks to identify the best possible solution to a research problem; case analysis can have an indeterminate set of solutions or outcomes . Your role in studying a case is to discover the most logical, evidence-based ways to address a research problem. A case analysis assignment rarely has a single correct answer because one of the goals is to force students to confront the real life dynamics of uncertainly, ambiguity, and missing or conflicting information within professional practice. Under these conditions, a perfect outcome or solution almost never exists.
  • Case study is unbounded and relies on gathering external information; case analysis is a self-contained subject of analysis . The scope of a case study chosen as a method of research is bounded. However, the researcher is free to gather whatever information and data is necessary to investigate its relevance to understanding the research problem. For a case analysis assignment, your professor will often ask you to examine solutions or recommended courses of action based solely on facts and information from the case.
  • Case study can be a person, place, object, issue, event, condition, or phenomenon; a case analysis is a carefully constructed synopsis of events, situations, and behaviors . The research problem dictates the type of case being studied and, therefore, the design can encompass almost anything tangible as long as it fulfills the objective of generating new knowledge and understanding. A case analysis is in the form of a narrative containing descriptions of facts, situations, processes, rules, and behaviors within a particular setting and under a specific set of circumstances.
  • Case study can represent an open-ended subject of inquiry; a case analysis is a narrative about something that has happened in the past . A case study is not restricted by time and can encompass an event or issue with no temporal limit or end. For example, the current war in Ukraine can be used as a case study of how medical personnel help civilians during a large military conflict, even though circumstances around this event are still evolving. A case analysis can be used to elicit critical thinking about current or future situations in practice, but the case itself is a narrative about something finite and that has taken place in the past.
  • Multiple case studies can be used in a research study; case analysis involves examining a single scenario . Case study research can use two or more cases to examine a problem, often for the purpose of conducting a comparative investigation intended to discover hidden relationships, document emerging trends, or determine variations among different examples. A case analysis assignment typically describes a stand-alone, self-contained situation and any comparisons among cases are conducted during in-class discussions and/or student presentations.

The Case Analysis . Fred Meijer Center for Writing and Michigan Authors. Grand Valley State University; Mills, Albert J. , Gabrielle Durepos, and Eiden Wiebe, editors. Encyclopedia of Case Study Research . Thousand Oaks, CA: SAGE Publications, 2010; Ramsey, V. J. and L. D. Dodge. "Case Analysis: A Structured Approach." Exchange: The Organizational Behavior Teaching Journal 6 (November 1981): 27-29; Yin, Robert K. Case Study Research and Applications: Design and Methods . 6th edition. Thousand Oaks, CA: Sage, 2017; Crowe, Sarah et al. “The Case Study Approach.” BMC Medical Research Methodology 11 (2011):  doi: 10.1186/1471-2288-11-100; Yin, Robert K. Case Study Research: Design and Methods . 4th edition. Thousand Oaks, CA: Sage Publishing; 1994.

  • << Previous: Reviewing Collected Works
  • Next: Writing a Case Study >>
  • Last Updated: Feb 8, 2024 10:20 AM
  • URL: https://libguides.usc.edu/writingguide/assignments
  • Columbia University in the City of New York
  • Office of Teaching, Learning, and Innovation
  • University Policies
  • Columbia Online
  • Academic Calendar
  • Resources and Technology
  • Resources and Guides

Case Method Teaching and Learning

What is the case method? How can the case method be used to engage learners? What are some strategies for getting started? This guide helps instructors answer these questions by providing an overview of the case method while highlighting learner-centered and digitally-enhanced approaches to teaching with the case method. The guide also offers tips to instructors as they get started with the case method and additional references and resources.

On this page:

What is case method teaching.

  • Case Method at Columbia

Why use the Case Method?

Case method teaching approaches, how do i get started.

  • Additional Resources

The CTL is here to help!

For support with implementing a case method approach in your course, email [email protected] to schedule your 1-1 consultation .

Cite this resource: Columbia Center for Teaching and Learning (2019). Case Method Teaching and Learning. Columbia University. Retrieved from [today’s date] from https://ctl.columbia.edu/resources-and-technology/resources/case-method/  

Case method 1 teaching is an active form of instruction that focuses on a case and involves students learning by doing 2 3 . Cases are real or invented stories 4  that include “an educational message” or recount events, problems, dilemmas, theoretical or conceptual issue that requires analysis and/or decision-making.

Case-based teaching simulates real world situations and asks students to actively grapple with complex problems 5 6 This method of instruction is used across disciplines to promote learning, and is common in law, business, medicine, among other fields. See Table 1 below for a few types of cases and the learning they promote.

Table 1: Types of cases and the learning they promote.

For a more complete list, see Case Types & Teaching Methods: A Classification Scheme from the National Center for Case Study Teaching in Science.

Back to Top

Case Method Teaching and Learning at Columbia

The case method is actively used in classrooms across Columbia, at the Morningside campus in the School of International and Public Affairs (SIPA), the School of Business, Arts and Sciences, among others, and at Columbia University Irving Medical campus.

Faculty Spotlight:

Professor Mary Ann Price on Using Case Study Method to Place Pre-Med Students in Real-Life Scenarios

Read more  

Professor De Pinho on Using the Case Method in the Mailman Core

Case method teaching has been found to improve student learning, to increase students’ perception of learning gains, and to meet learning objectives 8 9 . Faculty have noted the instructional benefits of cases including greater student engagement in their learning 10 , deeper student understanding of concepts, stronger critical thinking skills, and an ability to make connections across content areas and view an issue from multiple perspectives 11 . 

Through case-based learning, students are the ones asking questions about the case, doing the problem-solving, interacting with and learning from their peers, “unpacking” the case, analyzing the case, and summarizing the case. They learn how to work with limited information and ambiguity, think in professional or disciplinary ways, and ask themselves “what would I do if I were in this specific situation?”

The case method bridges theory to practice, and promotes the development of skills including: communication, active listening, critical thinking, decision-making, and metacognitive skills 12 , as students apply course content knowledge, reflect on what they know and their approach to analyzing, and make sense of a case. 

Though the case method has historical roots as an instructor-centered approach that uses the Socratic dialogue and cold-calling, it is possible to take a more learner-centered approach in which students take on roles and tasks traditionally left to the instructor. 

Cases are often used as “vehicles for classroom discussion” 13 . Students should be encouraged to take ownership of their learning from a case. Discussion-based approaches engage students in thinking and communicating about a case. Instructors can set up a case activity in which students are the ones doing the work of “asking questions, summarizing content, generating hypotheses, proposing theories, or offering critical analyses” 14 . 

The role of the instructor is to share a case or ask students to share or create a case to use in class, set expectations, provide instructions, and assign students roles in the discussion. Student roles in a case discussion can include: 

  • discussion “starters” get the conversation started with a question or posing the questions that their peers came up with; 
  • facilitators listen actively, validate the contributions of peers, ask follow-up questions, draw connections, refocus the conversation as needed; 
  • recorders take-notes of the main points of the discussion, record on the board, upload to CourseWorks, or type and project on the screen; and 
  • discussion “wrappers” lead a summary of the main points of the discussion. 

Prior to the case discussion, instructors can model case analysis and the types of questions students should ask, co-create discussion guidelines with students, and ask for students to submit discussion questions. During the discussion, the instructor can keep time, intervene as necessary (however the students should be doing the talking), and pause the discussion for a debrief and to ask students to reflect on what and how they learned from the case activity. 

Note: case discussions can be enhanced using technology. Live discussions can occur via video-conferencing (e.g., using Zoom ) or asynchronous discussions can occur using the Discussions tool in CourseWorks (Canvas) .

Table 2 includes a few interactive case method approaches. Regardless of the approach selected, it is important to create a learning environment in which students feel comfortable participating in a case activity and learning from one another. See below for tips on supporting student in how to learn from a case in the “getting started” section and how to create a supportive learning environment in the Guide for Inclusive Teaching at Columbia . 

Table 2. Strategies for Engaging Students in Case-Based Learning

Approaches to case teaching should be informed by course learning objectives, and can be adapted for small, large, hybrid, and online classes. Instructional technology can be used in various ways to deliver, facilitate, and assess the case method. For instance, an online module can be created in CourseWorks (Canvas) to structure the delivery of the case, allow students to work at their own pace, engage all learners, even those reluctant to speak up in class, and assess understanding of a case and student learning. Modules can include text, embedded media (e.g., using Panopto or Mediathread ) curated by the instructor, online discussion, and assessments. Students can be asked to read a case and/or watch a short video, respond to quiz questions and receive immediate feedback, post questions to a discussion, and share resources. 

For more information about options for incorporating educational technology to your course, please contact your Learning Designer .

To ensure that students are learning from the case approach, ask them to pause and reflect on what and how they learned from the case. Time to reflect  builds your students’ metacognition, and when these reflections are collected they provides you with insights about the effectiveness of your approach in promoting student learning.

Well designed case-based learning experiences: 1) motivate student involvement, 2) have students doing the work, 3) help students develop knowledge and skills, and 4) have students learning from each other.  

Designing a case-based learning experience should center around the learning objectives for a course. The following points focus on intentional design. 

Identify learning objectives, determine scope, and anticipate challenges. 

  • Why use the case method in your course? How will it promote student learning differently than other approaches? 
  • What are the learning objectives that need to be met by the case method? What knowledge should students apply and skills should they practice? 
  • What is the scope of the case? (a brief activity in a single class session to a semester-long case-based course; if new to case method, start small with a single case). 
  • What challenges do you anticipate (e.g., student preparation and prior experiences with case learning, discomfort with discussion, peer-to-peer learning, managing discussion) and how will you plan for these in your design? 
  • If you are asking students to use transferable skills for the case method (e.g., teamwork, digital literacy) make them explicit. 

Determine how you will know if the learning objectives were met and develop a plan for evaluating the effectiveness of the case method to inform future case teaching. 

  • What assessments and criteria will you use to evaluate student work or participation in case discussion? 
  • How will you evaluate the effectiveness of the case method? What feedback will you collect from students? 
  • How might you leverage technology for assessment purposes? For example, could you quiz students about the case online before class, accept assignment submissions online, use audience response systems (e.g., PollEverywhere) for formative assessment during class? 

Select an existing case, create your own, or encourage students to bring course-relevant cases, and prepare for its delivery

  • Where will the case method fit into the course learning sequence? 
  • Is the case at the appropriate level of complexity? Is it inclusive, culturally relevant, and relatable to students? 
  • What materials and preparation will be needed to present the case to students? (e.g., readings, audiovisual materials, set up a module in CourseWorks). 

Plan for the case discussion and an active role for students

  • What will your role be in facilitating case-based learning? How will you model case analysis for your students? (e.g., present a short case and demo your approach and the process of case learning) (Davis, 2009). 
  • What discussion guidelines will you use that include your students’ input? 
  • How will you encourage students to ask and answer questions, summarize their work, take notes, and debrief the case? 
  • If students will be working in groups, how will groups form? What size will the groups be? What instructions will they be given? How will you ensure that everyone participates? What will they need to submit? Can technology be leveraged for any of these areas? 
  • Have you considered students of varied cognitive and physical abilities and how they might participate in the activities/discussions, including those that involve technology? 

Student preparation and expectations

  • How will you communicate about the case method approach to your students? When will you articulate the purpose of case-based learning and expectations of student engagement? What information about case-based learning and expectations will be included in the syllabus?
  • What preparation and/or assignment(s) will students complete in order to learn from the case? (e.g., read the case prior to class, watch a case video prior to class, post to a CourseWorks discussion, submit a brief memo, complete a short writing assignment to check students’ understanding of a case, take on a specific role, prepare to present a critique during in-class discussion).

Andersen, E. and Schiano, B. (2014). Teaching with Cases: A Practical Guide . Harvard Business Press. 

Bonney, K. M. (2015). Case Study Teaching Method Improves Student Performance and Perceptions of Learning Gains†. Journal of Microbiology & Biology Education , 16 (1), 21–28. https://doi.org/10.1128/jmbe.v16i1.846

Davis, B.G. (2009). Chapter 24: Case Studies. In Tools for Teaching. Second Edition. Jossey-Bass. 

Garvin, D.A. (2003). Making the Case: Professional Education for the world of practice. Harvard Magazine. September-October 2003, Volume 106, Number 1, 56-107.

Golich, V.L. (2000). The ABCs of Case Teaching. International Studies Perspectives. 1, 11-29. 

Golich, V.L.; Boyer, M; Franko, P.; and Lamy, S. (2000). The ABCs of Case Teaching. Pew Case Studies in International Affairs. Institute for the Study of Diplomacy. 

Heath, J. (2015). Teaching & Writing Cases: A Practical Guide. The Case Center, UK. 

Herreid, C.F. (2011). Case Study Teaching. New Directions for Teaching and Learning. No. 128, Winder 2011, 31 – 40. 

Herreid, C.F. (2007). Start with a Story: The Case Study Method of Teaching College Science . National Science Teachers Association. Available as an ebook through Columbia Libraries. 

Herreid, C.F. (2006). “Clicker” Cases: Introducing Case Study Teaching Into Large Classrooms. Journal of College Science Teaching. Oct 2006, 36(2). https://search.proquest.com/docview/200323718?pq-origsite=gscholar  

Krain, M. (2016). Putting the Learning in Case Learning? The Effects of Case-Based Approaches on Student Knowledge, Attitudes, and Engagement. Journal on Excellence in College Teaching. 27(2), 131-153. 

Lundberg, K.O. (Ed.). (2011). Our Digital Future: Boardrooms and Newsrooms. Knight Case Studies Initiative. 

Popil, I. (2011). Promotion of critical thinking by using case studies as teaching method. Nurse Education Today, 31(2), 204–207. https://doi.org/10.1016/j.nedt.2010.06.002

Schiano, B. and Andersen, E. (2017). Teaching with Cases Online . Harvard Business Publishing. 

Thistlethwaite, JE; Davies, D.; Ekeocha, S.; Kidd, J.M.; MacDougall, C.; Matthews, P.; Purkis, J.; Clay D. (2012). The effectiveness of case-based learning in health professional education: A BEME systematic review . Medical Teacher. 2012; 34(6): e421-44. 

Yadav, A.; Lundeberg, M.; DeSchryver, M.; Dirkin, K.; Schiller, N.A.; Maier, K. and Herreid, C.F. (2007). Teaching Science with Case Studies: A National Survey of Faculty Perceptions of the Benefits and Challenges of Using Cases. Journal of College Science Teaching; Sept/Oct 2007; 37(1). 

Weimer, M. (2013). Learner-Centered Teaching: Five Key Changes to Practice. Second Edition. Jossey-Bass.

Additional resources 

Teaching with Cases , Harvard Kennedy School of Government. 

Features “what is a teaching case?” video that defines a teaching case, and provides documents to help students prepare for case learning, Common case teaching challenges and solutions, tips for teaching with cases. 

Promoting excellence and innovation in case method teaching: Teaching by the Case Method , Christensen Center for Teaching & Learning. Harvard Business School. 

National Center for Case Study Teaching in Science . University of Buffalo. 

A collection of peer-reviewed STEM cases to teach scientific concepts and content, promote process skills and critical thinking. The Center welcomes case submissions. Case classification scheme of case types and teaching methods:

  • Different types of cases: analysis case, dilemma/decision case, directed case, interrupted case, clicker case, a flipped case, a laboratory case. 
  • Different types of teaching methods: problem-based learning, discussion, debate, intimate debate, public hearing, trial, jigsaw, role-play. 

Columbia Resources

Resources available to support your use of case method: The University hosts a number of case collections including: the Case Consortium (a collection of free cases in the fields of journalism, public policy, public health, and other disciplines that include teaching and learning resources; SIPA’s Picker Case Collection (audiovisual case studies on public sector innovation, filmed around the world and involving SIPA student teams in producing the cases); and Columbia Business School CaseWorks , which develops teaching cases and materials for use in Columbia Business School classrooms.

Center for Teaching and Learning

The Center for Teaching and Learning (CTL) offers a variety of programs and services for instructors at Columbia. The CTL can provide customized support as you plan to use the case method approach through implementation. Schedule a one-on-one consultation. 

Office of the Provost

The Hybrid Learning Course Redesign grant program from the Office of the Provost provides support for faculty who are developing innovative and technology-enhanced pedagogy and learning strategies in the classroom. In addition to funding, faculty awardees receive support from CTL staff as they redesign, deliver, and evaluate their hybrid courses.

The Start Small! Mini-Grant provides support to faculty who are interested in experimenting with one new pedagogical strategy or tool. Faculty awardees receive funds and CTL support for a one-semester period.

Explore our teaching resources.

  • Blended Learning
  • Contemplative Pedagogy
  • Inclusive Teaching Guide
  • FAQ for Teaching Assistants
  • Metacognition

CTL resources and technology for you.

  • Overview of all CTL Resources and Technology
  • The origins of this method can be traced to Harvard University where in 1870 the Law School began using cases to teach students how to think like lawyers using real court decisions. This was followed by the Business School in 1920 (Garvin, 2003). These professional schools recognized that lecture mode of instruction was insufficient to teach critical professional skills, and that active learning would better prepare learners for their professional lives. ↩
  • Golich, V.L. (2000). The ABCs of Case Teaching. <i>International Studies Perspectives. </i>1, 11-29. ↩
  • </span><span style="font-weight: 400;">Herreid, C.F. (2007). </span><i><span style="font-weight: 400;">Start with a Story: The Case Study Method of Teaching College Science</span></i><span style="font-weight: 400;">. National Science Teachers Association. Available as an </span><a href="http://www.columbia.edu/cgi-bin/cul/resolve?clio12627183"><span style="font-weight: 400;">ebook</span></a><span style="font-weight: 400;"> through Columbia Libraries. ↩
  • Davis, B.G. (2009). Chapter 24: Case Studies. In <i>Tools for Teaching. </i>Second Edition. Jossey-Bass. ↩
  • Andersen, E. and Schiano, B. (2014). <i>Teaching with Cases: A Practical Guide</i>. Harvard Business Press. ↩
  • Lundberg, K.O. (Ed.). (2011). <i>Our Digital Future: Boardrooms and Newsrooms. </i>Knight Case Studies Initiative. ↩
  • Heath, J. (2015). <i>Teaching & Writing Cases: A Practical Guide. </i>The Case Center, UK. ↩
  • Bonney, K. M. (2015). Case Study Teaching Method Improves Student Performance and Perceptions of Learning Gains†. <i>Journal of Microbiology & Biology Education</i>, <i>16</i>(1), 21–28.<a href="https://doi.org/10.1128/jmbe.v16i1.846"> https://doi.org/10.1128/jmbe.v16i1.846</a> ↩
  • Krain, M. (2016). Putting the Learning in Case Learning? The Effects of Case-Based Approaches on Student Knowledge, Attitudes, and Engagement. <i>Journal on Excellence in College Teaching. </i>27(2), 131-153. ↩
  • Thistlethwaite, JE; Davies, D.; Ekeocha, S.; Kidd, J.M.; MacDougall, C.; Matthews, P.; Purkis, J.; Clay D. (2012). <a href="https://www.ncbi.nlm.nih.gov/pubmed/22578051">The effectiveness of case-based learning in health professional education: A BEME systematic review</a>. <i>Medical Teacher.</i> 2012; 34(6): e421-44. ↩
  • Yadav, A.; Lundeberg, M.; DeSchryver, M.; Dirkin, K.; Schiller, N.A.; Maier, K. and Herreid, C.F. (2007). Teaching Science with Case Studies: A National Survey of Faculty Perceptions of the Benefits and Challenges of Using Cases. <i>Journal of College Science Teaching; </i>Sept/Oct 2007; 37(1). ↩
  • Popil, I. (2011). Promotion of critical thinking by using case studies as teaching method. Nurse Education Today, 31(2), 204–207. <a href="https://doi.org/10.1016/j.nedt.2010.06.002">https://doi.org/10.1016/j.nedt.2010.06.002</a> ↩
  • Weimer, M. (2013). Learner-Centered Teaching: Five Key Changes to Practice. Second Edition. Jossey-Bass. ↩
  • Herreid, C.F. (2006). “Clicker” Cases: Introducing Case Study Teaching Into Large Classrooms. <i>Journal of College Science Teaching. </i>Oct 2006, 36(2). <a href="https://search.proquest.com/docview/200323718?pq-origsite=gscholar">https://search.proquest.com/docview/200323718?pq-origsite=gscholar</a> ↩

This website uses cookies to identify users, improve the user experience and requires cookies to work. By continuing to use this website, you consent to Columbia University's use of cookies and similar technologies, in accordance with the Columbia University Website Cookie Notice .

  • Increase Font Size

18 Case Study Method

Ms. Beliyaluxmi Devi

1. Introduction

2. Case Study

3 Techniques used for case studies

4 Sources of data for case studies

5 Types of case Studies

6 Advantage and limitation

Learning Objectives:

  •  To learn what is case study and distinction from case history; identify the application of case study;
  •  To discuss how to plan case study; and
  •  To understand the advantage and limitation of case study
  • Introduction

Among the various methods of data collection, case study is certainly one popular form of qualitative analysis involving careful and complete observation of a case. A case is a social unit with a deviant behavior, and may be an event, problem, process, activity, programme, of a social unit. The unit may be a person, a family, an institution, a cultural group, a community or even an entire society (Kothari, 2014). But it is a bounded system that has the boundaries of the case. Case Study therefore is an intensive investigation of the particular unit under consideration. It is extensively used in psychology, education, sociology, anthropology, economics and political science. It aims at obtaining a complete and detailed account of a social phenomenon or a social event of a social unit. In case study, data can be collected from multiple sources by using any qualitative method of data collection like interviews, observation and it may also include documents, artifacts etc. Case study method is a type of data collection that goes in depth understanding rather than breadth. Case study can be descriptive as we observe and write in description as well as it can also be an exploratory that is we wrote what was said. Pierre Guillaume Frederic Le Play (1855), a mathematician and natural scientist, is considered as the founder of case study method as he used it for the first time in his publication Les Ouvriers Europeens.

2.1 Definitions of Case Study Methods

Case study has been defined differently by different scholars from time to time. Some of them are presented below.

  • Young, P.V. (1984): Case study is a comprehensive study of a social unit, be it a person, a group of persons, an institute, a community or a family.
  • Groode and Hatt (1953): It is a method of exploring and analyzing the life of a social unit
  • Cooley, C.H. (2007): Case study depends our perception and gives clear insight into life directory.
  • Bogardus, E. S. (1925): The method of examining specially and in detail a given situation
  • Robson C. (1993): A strategy for doing research which involves an empirical investigation of a particular contemporary phenomenon within its real life context using multiple sources of evidence.

So critical analysis of these definitions, reveal that case study is a method of minute and detail study of a situation concerning a social unit in an intensive and comprehensive manner in order to understand the personal as well as hidden dimensions of human life.

2.2 Characteristics of Case Study

The main characteristics of the case study are (www.studylecturenotes.com):

A descriptive study:

  • The data collected constitute descriptions of psychological processes and events, and of the contexts in which they occurred.
  • The main emphasis is always on the construction of verbal descriptions of behavior or experience but rarely quantitative data may be collected. In short case study is more of a qualitative method rather than quantitative method.
  • High levels of detail are provided.
  • The behavior pattern of the concerned unit is studied directly wherein efforts are made to know the mutual inter-relationship of causal factors.

Narrowly focused:

  • Typically a case study offers a complete and comprehensive description of all facets of a social unit, be it a single individual or may be a social group.
  • Often the case study focuses on a limited aspect of a person, such as their psychopathological symptoms.

Combines objective and subjective data:

Researchers may combine objective and subjective data. Both the data are regarded as valid data for analysis. It enables case study to achieved in-depth understanding of the behavior and experience of a single individual.

Process-oriented:

  • The case study method enables the researcher to explore and describe the nature of processes, which occur over time.
  • In contrast to the experimental method, which basically provides a stilled ‘snapshot’ of processes, case study continued over time like for example the development of language in children over time.

2.3. Difference between Case Study and Case History

The Case study method helps retaining the holistic and meaningful characteristics of real life events – such as individual life cycles, small group behavior, etc. It is like a case history of a patient. As a patient goes to the doctor with some serious disease, the doctor records the case history. Analysis of case history helps in the diagnosis of the patient’s illness (http://www.differencebetween.com/difference-between-case-study-and-vs-case-history).

Although most of us confuse case study and case history to be the same, however, there exists a difference between these two terms. They are being used in many disciplines and allow the researcher to be more informative of people, and events. First, let us define the word case study. A case study refers to a research method where a person, group or an event is being investigated which is used by researchers whereas a case history, on the other hand, refers to a record of data which contributes to a case study; usually case history is used by doctors to investigate the patients. This is the main difference between a case study and case history.

(i) What is a Case Study?

A case study is a research method used to investigate an individual, a group of people, or a particular phenomenon. The case study has been used in many disciplines especially in social science, anthropology, sociology, psychology, and political science. A case study allows the researcher to gain an in-depth understanding of the topic. To conduct a case study, the researcher can use a number of techniques. For example, observation, interviews, usage of secondary data such as documents, records, etc. It usually goes on for a longer period because the researcher has to explore the topic deeply.

The case study method was first used in the clinical medicine so that the doctor has a clear understanding of the history of the patient. Various methods can be used in a case study for example a psychologist use observation to observe the individual, use interview method to broaden the understanding. To create a clear picture of the problem, the questions can be directed not only to the individual on whom the case study is being conducted but also on those who are related to the individual. A special feature of case studies is that it produces qualitative data that are rich and authentic.

(ii) What is a Case History?

Unlike the case study that refers to a method, a case history refers to a record of an individual or even a group. Case histories are used in many disciplines such as psychology, sociology, medicine, psychiatry, etc. It consists of all the necessary information of the individual. In medicine, a case history refers to a specific record that reveals the personal information, medical condition, the medication that has been used and special conditions of the individual. Having a case history can be very beneficial in treatment of disease. However, a case history does not necessarily have to be connected to an individual; it can even be of an event that took place. The case history is a recording that narrates a sequence of events. Such a narrative allows the researcher to look at an event in retrospect.

  • Techniques used for Case Studies

The techniques of case studies includes –

(i) Observation

It is a systematic data collection approach. Researchers use all of their senses to examine people in natural settings or naturally occurring situations. Observation of a field setting involves: prolonged engagement in a setting or social situation.

(ii) Interview

It is questioning and discussing to a person for the purpose of an evaluation or to generate information. (iii) Secondary Data

Secondary data refers to data that was collected by someone through secondary sources. (iv) Documents

Any writing that provides information, especially information which is of official in nature.

(v) Records

Anything that provides permanent information which can rely on or providing an evident officially.

  • Sources of Data for Case Study

In case study, information may be collected from various sources. Some of the important sources include:

  • Life histories
  • Personal documents
  • Letters and records
  • Biographies
  • Information obtained through interviews
  • Observation
  • Types of Case Study

The following are the types of case study according to the Graham R Gibbs (2012) –

  • Individual case study: This study was first done by Shaw, Clifford R. (1930). In individual case study, life of a particular person, his activities and his totalities were accompanied.
  • Set of individual case study: Group of person that practice different culture was studies. As for instance those lives in rural area and those living in urban area there will different cases between them.
  • Community studies: In community studies, it may include hundreds of people from a community that picked upon for some reason.
  • Social Group Studies: Group of people that defined their social position, for example a group of musician or a group of drugs taker
  • Studies of organizations and institutions: Study for a particular organizations or an institutions
  • Studies of events, roles and relationships: Similar to individual case study but more focus on events, roles and relationships that involved. For example we can take the role of a housewife.

Identifying a Case Study:

Determine if a case study will answer your research question

Identify the case and find out what type of case study method or technique will be employed

When the researcher makes interpretations, the researcher should be able to learn the meaning of the case data while interpreting

How to plan a case study?

The following points are required to plan a case study such as –

Conceptual Framework: based on the theory it displays the important features of a case study and show relationships between features.

Research Questions: Consist of conceptual framework which is consisting of focused and answerable questions.

Research Design: Plan out of what to include or what not to include before data collection

Methods and Instruments: an appropriate method should be employed to answer the research question

Analysis of Data and interpretation: Collected information should be analysed using statistical tools and interpret the findings incorporating the ideas and knowledge gathered during data collection

  • Advantages and Limitations

6.1 Advantages of Case Study

The following are some of the advantages of case study –

a) It facilitates intensive study and in-depth analysis of a social unit which help in contradicting established theory.

b) In-depth and comprehensive information are collected through this method which helps in stimulating new research.

c) It is suitable for collecting data pertaining to sensitive areas of a social phenomenon.

d) It helps to collect details regarding the diverse habits, traits and qualities of the unit under investigation (Kothari, 2014).

e) The researcher can understand better the social change of different facets of a social unit every now and then.

f) This study can be a means to understand the past of a social unit because of its emphasis of historical analysis.

g) The researcher can used any type of methods like interview, questionnaire, documents, self-reports etc.

h) Case study enables to generalize the knowledge amusing from the information collected.

i) A real personal experience can be recorded which enlighten and reveal the real man’s inner determined.

j) The data obtained through case study is useful for formulation of hypothesis and preparation of schedule and questionnaire for such types of study and for further research (Kothari, 2014).

k) It helps in enhancing his/her experience, ability and skill in content analysis of the data.

l) It is useful for therapeutic and administrative purposes, particularly in diagnosis, treatment and therapy etc.

6.2 Limitations of Case Study

a) Case history records could be open to errors due to faulty selection of case and inaccurate observation (Kothari, 2014).

b) There are chances of inaccuracy of the data as no uniform and standardized system of recording case histories has been developed.

c) Data collected from case study usually based on several assumptions which may not be very realistic at times

d) This method is mainly qualitative rather than quantitative, hence there may be question of subjectivity.

e) It is very difficult to draw generalizations on the basis of a few cases.

f) Sampling is not possible in case study as this method can be used only in a limited unit.

g) The information collected from case study is incomparable since each informant gives his/her own opinion. Therefore, replication is not possible.

h) Since this method is fully based on the informant, sometimes the informant himself thinks that he/she have the full knowledge and the information given by them may include some fake also.

i) The investigator’s bias might distort the quality of the case study (Kothari, 2014).

j) Case Study is time-consuming and costly in certain cases.

k) This method cannot be effectively used in big and complex societies (Kothari, 2014).

Case study is an important method employed for collection of qualitative data for an in depth, intensive and comprehensive scientific study of a social unit. This social unit can be an individual, a family, a community, a group or even an entire society. Case study is quite different from the case history which focuses on the recording of personal information. Different methods of case study such as individual, community, social group, organization and events using appropriate techniques (observation, interview, secondary data like documents and records) are used based on the objectives of the research problem. The main sources of data in case studies includes life histories, personal documents, letters and records, biographies, information obtained through interviews and observation. Case studies facilitate intensive study and in-depth analysis of a social unit contradicting established theory. It helps in contradicting established theory and stimulating new research. However, difficulties arises in case studies due to a number of reasons which includes inconsistency in data, not possible to replicate the findings, interviewing key and right informants, expertise of the investigator, constant monitoring of interaction between the theoretical issues being studied and collected data, and interpretation of the data needs to be carefully considered.

U.S. flag

An official website of the United States government

The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

  • Publications
  • Account settings
  • Advanced Search
  • Journal List
  • J Microbiol Biol Educ
  • v.16(1); 2015 May

Case Study Teaching Method Improves Student Performance and Perceptions of Learning Gains †

Associated data.

  • Appendix 1: Example assessment questions used to assess the effectiveness of case studies at promoting learning
  • Appendix 2: Student learning gains were assessed using a modified version of the SALG course evaluation tool

Following years of widespread use in business and medical education, the case study teaching method is becoming an increasingly common teaching strategy in science education. However, the current body of research provides limited evidence that the use of published case studies effectively promotes the fulfillment of specific learning objectives integral to many biology courses. This study tested the hypothesis that case studies are more effective than classroom discussions and textbook reading at promoting learning of key biological concepts, development of written and oral communication skills, and comprehension of the relevance of biological concepts to everyday life. This study also tested the hypothesis that case studies produced by the instructor of a course are more effective at promoting learning than those produced by unaffiliated instructors. Additionally, performance on quantitative learning assessments and student perceptions of learning gains were analyzed to determine whether reported perceptions of learning gains accurately reflect academic performance. The results reported here suggest that case studies, regardless of the source, are significantly more effective than other methods of content delivery at increasing performance on examination questions related to chemical bonds, osmosis and diffusion, mitosis and meiosis, and DNA structure and replication. This finding was positively correlated to increased student perceptions of learning gains associated with oral and written communication skills and the ability to recognize connections between biological concepts and other aspects of life. Based on these findings, case studies should be considered as a preferred method for teaching about a variety of concepts in science courses.

INTRODUCTION

The case study teaching method is a highly adaptable style of teaching that involves problem-based learning and promotes the development of analytical skills ( 8 ). By presenting content in the format of a narrative accompanied by questions and activities that promote group discussion and solving of complex problems, case studies facilitate development of the higher levels of Bloom’s taxonomy of cognitive learning; moving beyond recall of knowledge to analysis, evaluation, and application ( 1 , 9 ). Similarly, case studies facilitate interdisciplinary learning and can be used to highlight connections between specific academic topics and real-world societal issues and applications ( 3 , 9 ). This has been reported to increase student motivation to participate in class activities, which promotes learning and increases performance on assessments ( 7 , 16 , 19 , 23 ). For these reasons, case-based teaching has been widely used in business and medical education for many years ( 4 , 11 , 12 , 14 ). Although case studies were considered a novel method of science education just 20 years ago, the case study teaching method has gained popularity in recent years among an array of scientific disciplines such as biology, chemistry, nursing, and psychology ( 5 – 7 , 9 , 11 , 13 , 15 – 17 , 21 , 22 , 24 ).

Although there is now a substantive and growing body of literature describing how to develop and use case studies in science teaching, current research on the effectiveness of case study teaching at meeting specific learning objectives is of limited scope and depth. Studies have shown that working in groups during completion of case studies significantly improves student perceptions of learning and may increase performance on assessment questions, and that the use of clickers can increase student engagement in case study activities, particularly among non-science majors, women, and freshmen ( 7 , 21 , 22 ). Case study teaching has been shown to improve exam performance in an anatomy and physiology course, increasing the mean score across all exams given in a two-semester sequence from 66% to 73% ( 5 ). Use of case studies was also shown to improve students’ ability to synthesize complex analytical questions about the real-world issues associated with a scientific topic ( 6 ). In a high school chemistry course, it was demonstrated that the case study teaching method produces significant increases in self-reported control of learning, task value, and self-efficacy for learning and performance ( 24 ). This effect on student motivation is important because enhanced motivation for learning activities has been shown to promote student engagement and academic performance ( 19 , 24 ). Additionally, faculty from a number of institutions have reported that using case studies promotes critical thinking, learning, and participation among students, especially in terms of the ability to view an issue from multiple perspectives and to grasp the practical application of core course concepts ( 23 ).

Despite what is known about the effectiveness of case studies in science education, questions remain about the functionality of the case study teaching method at promoting specific learning objectives that are important to many undergraduate biology courses. A recent survey of teachers who use case studies found that the topics most often covered in general biology courses included genetics and heredity, cell structure, cells and energy, chemistry of life, and cell cycle and cancer, suggesting that these topics should be of particular interest in studies that examine the effectiveness of the case study teaching method ( 8 ). However, the existing body of literature lacks direct evidence that the case study method is an effective tool for teaching about this collection of important topics in biology courses. Further, the extent to which case study teaching promotes development of science communication skills and the ability to understand the connections between biological concepts and everyday life has not been examined, yet these are core learning objectives shared by a variety of science courses. Although many instructors have produced case studies for use in their own classrooms, the production of novel case studies is time-consuming and requires skills that not all instructors have perfected. It is therefore important to determine whether case studies published by instructors who are unaffiliated with a particular course can be used effectively and obviate the need for each instructor to develop new case studies for their own courses. The results reported herein indicate that teaching with case studies results in significantly higher performance on examination questions about chemical bonds, osmosis and diffusion, mitosis and meiosis, and DNA structure and replication than that achieved by class discussions and textbook reading for topics of similar complexity. Case studies also increased overall student perceptions of learning gains and perceptions of learning gains specifically related to written and oral communication skills and the ability to grasp connections between scientific topics and their real-world applications. The effectiveness of the case study teaching method at increasing academic performance was not correlated to whether the case study used was authored by the instructor of the course or by an unaffiliated instructor. These findings support increased use of published case studies in the teaching of a variety of biological concepts and learning objectives.

Student population

This study was conducted at Kingsborough Community College, which is part of the City University of New York system, located in Brooklyn, New York. Kingsborough Community College has a diverse population of approximately 19,000 undergraduate students. The student population included in this study was enrolled in the first semester of a two-semester sequence of general (introductory) biology for biology majors during the spring, winter, or summer semester of 2014. A total of 63 students completed the course during this time period; 56 students consented to the inclusion of their data in the study. Of the students included in the study, 23 (41%) were male and 33 (59%) were female; 40 (71%) were registered as college freshmen and 16 (29%) were registered as college sophomores. To normalize participant groups, the same student population pooled from three classes taught by the same instructor was used to assess both experimental and control teaching methods.

Course material

The four biological concepts assessed during this study (chemical bonds, osmosis and diffusion, mitosis and meiosis, and DNA structure and replication) were selected as topics for studying the effectiveness of case study teaching because they were the key concepts addressed by this particular course that were most likely to be taught in a number of other courses, including biology courses for both majors and nonmajors at outside institutions. At the start of this study, relevant existing case studies were freely available from the National Center for Case Study Teaching in Science (NCCSTS) to address mitosis and meiosis and DNA structure and replication, but published case studies that appropriately addressed chemical bonds and osmosis and diffusion were not available. Therefore, original case studies that addressed the latter two topics were produced as part of this study, and case studies produced by unaffiliated instructors and published by the NCCSTS were used to address the former two topics. By the conclusion of this study, all four case studies had been peer-reviewed and accepted for publication by the NCCSTS ( http://sciencecases.lib.buffalo.edu/cs/ ). Four of the remaining core topics covered in this course (macromolecules, photosynthesis, genetic inheritance, and translation) were selected as control lessons to provide control assessment data.

To minimize extraneous variation, control topics and assessments were carefully matched in complexity, format, and number with case studies, and an equal amount of class time was allocated for each case study and the corresponding control lesson. Instruction related to control lessons was delivered using minimal slide-based lectures, with emphasis on textbook reading assignments accompanied by worksheets completed by students in and out of the classroom, and small and large group discussion of key points. Completion of activities and discussion related to all case studies and control topics that were analyzed was conducted in the classroom, with the exception of the take-home portion of the osmosis and diffusion case study.

Data collection and analysis

This study was performed in accordance with a protocol approved by the Kingsborough Community College Human Research Protection Program and the Institutional Review Board (IRB) of the City University of New York (CUNY IRB reference 539938-1; KCC IRB application #: KCC 13-12-126-0138). Assessment scores were collected from regularly scheduled course examinations. For each case study, control questions were included on the same examination that were similar in number, format, point value, and difficulty level, but related to a different topic covered in the course that was of similar complexity. Complexity and difficulty of both case study and control questions were evaluated using experiential data from previous iterations of the course; the Bloom’s taxonomy designation and amount of material covered by each question, as well as the average score on similar questions achieved by students in previous iterations of the course was considered in determining appropriate controls. All assessment questions were scored using a standardized, pre-determined rubric. Student perceptions of learning gains were assessed using a modified version of the Student Assessment of Learning Gains (SALG) course evaluation tool ( http://www.salgsite.org ), distributed in hardcopy and completed anonymously during the last week of the course. Students were presented with a consent form to opt-in to having their data included in the data analysis. After the course had concluded and final course grades had been posted, data from consenting students were pooled in a database and identifying information was removed prior to analysis. Statistical analysis of data was conducted using the Kruskal-Wallis one-way analysis of variance and calculation of the R 2 coefficient of determination.

Teaching with case studies improves performance on learning assessments, independent of case study origin

To evaluate the effectiveness of the case study teaching method at promoting learning, student performance on examination questions related to material covered by case studies was compared with performance on questions that covered material addressed through classroom discussions and textbook reading. The latter questions served as control items; assessment items for each case study were compared with control items that were of similar format, difficulty, and point value ( Appendix 1 ). Each of the four case studies resulted in an increase in examination performance compared with control questions that was statistically significant, with an average difference of 18% ( Fig. 1 ). The mean score on case study-related questions was 73% for the chemical bonds case study, 79% for osmosis and diffusion, 76% for mitosis and meiosis, and 70% for DNA structure and replication ( Fig. 1 ). The mean score for non-case study-related control questions was 60%, 54%, 60%, and 52%, respectively ( Fig. 1 ). In terms of examination performance, no significant difference between case studies produced by the instructor of the course (chemical bonds and osmosis and diffusion) and those produced by unaffiliated instructors (mitosis and meiosis and DNA structure and replication) was indicated by the Kruskal-Wallis one-way analysis of variance. However, the 25% difference between the mean score on questions related to the osmosis and diffusion case study and the mean score on the paired control questions was notably higher than the 13–18% differences observed for the other case studies ( Fig. 1 ).

An external file that holds a picture, illustration, etc.
Object name is jmbe-16-21f1.jpg

Case study teaching method increases student performance on examination questions. Mean score on a set of examination questions related to lessons covered by case studies (black bars) and paired control questions of similar format and difficulty about an unrelated topic (white bars). Chemical bonds, n = 54; Osmosis and diffusion, n = 54; Mitosis and meiosis, n = 51; DNA structure and replication, n = 50. Error bars represent the standard error of the mean (SEM). Asterisk indicates p < 0.05.

Case study teaching increases student perception of learning gains related to core course objectives

Student learning gains were assessed using a modified version of the SALG course evaluation tool ( Appendix 2 ). To determine whether completing case studies was more effective at increasing student perceptions of learning gains than completing textbook readings or participating in class discussions, perceptions of student learning gains for each were compared. In response to the question “Overall, how much did each of the following aspects of the class help your learning?” 82% of students responded that case studies helped a “good” or “great” amount, compared with 70% for participating in class discussions and 58% for completing textbook reading; only 4% of students responded that case studies helped a “small amount” or “provided no help,” compared with 2% for class discussions and 22% for textbook reading ( Fig. 2A ). The differences in reported learning gains derived from the use of case studies compared with class discussion and textbook readings were statistically significant, while the difference in learning gains associated with class discussion compared with textbook reading was not statistically significant by a narrow margin ( p = 0.051).

An external file that holds a picture, illustration, etc.
Object name is jmbe-16-21f2.jpg

The case study teaching method increases student perceptions of learning gains. Student perceptions of learning gains are indicated by plotting responses to the question “How much did each of the following activities: (A) Help your learning overall? (B) Improve your ability to communicate your knowledge of scientific concepts in writing? (C) Improve your ability to communicate your knowledge of scientific concepts orally? (D) Help you understand the connections between scientific concepts and other aspects of your everyday life?” Reponses are represented as follows: Helped a great amount (black bars); Helped a good amount (dark gray bars); Helped a moderate amount (medium gray bars); Helped a small amount (light gray bars); Provided no help (white bars). Asterisk indicates p < 0.05.

To elucidate the effectiveness of case studies at promoting learning gains related to specific course learning objectives compared with class discussions and textbook reading, students were asked how much each of these methods of content delivery specifically helped improve skills that were integral to fulfilling three main course objectives. When students were asked how much each of the methods helped “improve your ability to communicate knowledge of scientific concepts in writing,” 81% of students responded that case studies help a “good” or “great” amount, compared with 63% for class discussions and 59% for textbook reading; only 6% of students responded that case studies helped a “small amount” or “provided no help,” compared with 8% for class discussions and 21% for textbook reading ( Fig. 2B ). When the same question was posed about the ability to communicate orally, 81% of students responded that case studies help a “good” or “great” amount, compared with 68% for class discussions and 50% for textbook reading, while the respective response rates for helped a “small amount” or “provided no help,” were 4%, 6%, and 25% ( Fig. 2C ). The differences in learning gains associated with both written and oral communication were statistically significant when completion of case studies was compared with either participation in class discussion or completion of textbook readings. Compared with textbook reading, class discussions led to a statistically significant increase in oral but not written communication skills.

Students were then asked how much each of the methods helped them “understand the connections between scientific concepts and other aspects of your everyday life.” A total of 79% of respondents declared that case studies help a “good” or “great” amount, compared with 70% for class discussions and 57% for textbook reading ( Fig. 2D ). Only 4% stated that case studies and class discussions helped a “small amount” or “provided no help,” compared with 21% for textbook reading ( Fig. 2D ). Similar to overall learning gains, the use of case studies significantly increased the ability to understand the relevance of science to everyday life compared with class discussion and textbook readings, while the difference in learning gains associated with participation in class discussion compared with textbook reading was not statistically significant ( p = 0.054).

Student perceptions of learning gains resulting from case study teaching are positively correlated to increased performance on examinations, but independent of case study author

To test the hypothesis that case studies produced specifically for this course by the instructor were more effective at promoting learning gains than topically relevant case studies published by authors not associated with this course, perceptions of learning gains were compared for each of the case studies. For both of the case studies produced by the instructor of the course, 87% of students indicated that the case study provided a “good” or “great” amount of help to their learning, and 2% indicated that the case studies provided “little” or “no” help ( Table 1 ). In comparison, an average of 85% of students indicated that the case studies produced by an unaffiliated instructor provided a “good” or “great” amount of help to their learning, and 4% indicated that the case studies provided “little” or “no” help ( Table 1 ). The instructor-produced case studies yielded both the highest and lowest percentage of students reporting the highest level of learning gains (a “great” amount), while case studies produced by unaffiliated instructors yielded intermediate values. Therefore, it can be concluded that the effectiveness of case studies at promoting learning gains is not significantly affected by whether or not the course instructor authored the case study.

Case studies positively affect student perceptions of learning gains about various biological topics.

Finally, to determine whether performance on examination questions accurately predicts student perceptions of learning gains, mean scores on examination questions related to case studies were compared with reported perceptions of learning gains for those case studies ( Fig. 3 ). The coefficient of determination (R 2 value) was 0.81, indicating a strong, but not definitive, positive correlation between perceptions of learning gains and performance on examinations, suggesting that student perception of learning gains is a valid tool for assessing the effectiveness of case studies ( Fig. 3 ). This correlation was independent of case study author.

An external file that holds a picture, illustration, etc.
Object name is jmbe-16-21f3.jpg

Perception of learning gains but not author of case study is positively correlated to score on related examination questions. Percentage of students reporting that each specific case study provided “a great amount of help” to their learning was plotted against the point difference between mean score on examination questions related to that case study and mean score on paired control questions. Positive point differences indicate how much higher the mean scores on case study-related questions were than the mean scores on paired control questions. Black squares represent case studies produced by the instructor of the course; white squares represent case studies produced by unaffiliated instructors. R 2 value indicates the coefficient of determination.

The purpose of this study was to test the hypothesis that teaching with case studies produced by the instructor of a course is more effective at promoting learning gains than using case studies produced by unaffiliated instructors. This study also tested the hypothesis that the case study teaching method is more effective than class discussions and textbook reading at promoting learning gains associated with four of the most commonly taught topics in undergraduate general biology courses: chemical bonds, osmosis and diffusion, mitosis and meiosis, and DNA structure and replication. In addition to assessing content-based learning gains, development of written and oral communication skills and the ability to connect scientific topics with real-world applications was also assessed, because these skills were overarching learning objectives of this course, and classroom activities related to both case studies and control lessons were designed to provide opportunities for students to develop these skills. Finally, data were analyzed to determine whether performance on examination questions is positively correlated to student perceptions of learning gains resulting from case study teaching.

Compared with equivalent control questions about topics of similar complexity taught using class discussions and textbook readings, all four case studies produced statistically significant increases in the mean score on examination questions ( Fig. 1 ). This indicates that case studies are more effective than more commonly used, traditional methods of content delivery at promoting learning of a variety of core concepts covered in general biology courses. The average increase in score on each test item was equivalent to nearly two letter grades, which is substantial enough to elevate the average student performance on test items from the unsatisfactory/failing range to the satisfactory/passing range. The finding that there was no statistical difference between case studies in terms of performance on examination questions suggests that case studies are equally effective at promoting learning of disparate topics in biology. The observations that students did not perform significantly less well on the first case study presented (chemical bonds) compared with the other case studies and that performance on examination questions did not progressively increase with each successive case study suggests that the effectiveness of case studies is not directly related to the amount of experience students have using case studies. Furthermore, anecdotal evidence from previous semesters of this course suggests that, of the four topics addressed by cases in this study, DNA structure and function and osmosis and diffusion are the first and second most difficult for students to grasp. The lack of a statistical difference between case studies therefore suggests that the effectiveness of a case study at promoting learning gains is not directly proportional to the difficulty of the concept covered. However, the finding that use of the osmosis and diffusion case study resulted in the greatest increase in examination performance compared with control questions and also produced the highest student perceptions of learning gains is noteworthy and could be attributed to the fact that it was the only case study evaluated that included a hands-on experiment. Because the inclusion of a hands-on kinetic activity may synergistically enhance student engagement and learning and result in an even greater increase in learning gains than case studies that lack this type of activity, it is recommended that case studies that incorporate this type of activity be preferentially utilized.

Student perceptions of learning gains are strongly motivating factors for engagement in the classroom and academic performance, so it is important to assess the effect of any teaching method in this context ( 19 , 24 ). A modified version of the SALG course evaluation tool was used to assess student perceptions of learning gains because it has been previously validated as an efficacious tool ( Appendix 2 ) ( 20 ). Using the SALG tool, case study teaching was demonstrated to significantly increase student perceptions of overall learning gains compared with class discussions and textbook reading ( Fig. 2A ). Case studies were shown to be particularly useful for promoting perceived development of written and oral communication skills and for demonstrating connections between scientific topics and real-world issues and applications ( Figs. 2B–2D ). Further, student perceptions of “great” learning gains positively correlated with increased performance on examination questions, indicating that assessment of learning gains using the SALG tool is both valid and useful in this course setting ( Fig. 3 ). These findings also suggest that case study teaching could be used to increase student motivation and engagement in classroom activities and thus promote learning and performance on assessments. The finding that textbook reading yielded the lowest student perceptions of learning gains was not unexpected, since reading facilitates passive learning while the class discussions and case studies were both designed to promote active learning.

Importantly, there was no statistical difference in student performance on examinations attributed to the two case studies produced by the instructor of the course compared with the two case studies produced by unaffiliated instructors. The average difference between the two instructor-produced case studies and the two case studies published by unaffiliated instructors was only 3% in terms of both the average score on examination questions (76% compared with 73%) and the average increase in score compared with paired control items (14% compared with 17%) ( Fig. 1 ). Even when considering the inherent qualitative differences of course grades, these differences are negligible. Similarly, the effectiveness of case studies at promoting learning gains was not significantly affected by the origin of the case study, as evidenced by similar percentages of students reporting “good” and “great” learning gains regardless of whether the case study was produced by the course instructor or an unaffiliated instructor ( Table 1 ).

The observation that case studies published by unaffiliated instructors are just as effective as those produced by the instructor of a course suggests that instructors can reasonably rely on the use of pre-published case studies relevant to their class rather than investing the considerable time and effort required to produce a novel case study. Case studies covering a wide range of topics in the sciences are available from a number of sources, and many of them are free access. The National Center for Case Study Teaching in Science (NCCSTS) database ( http://sciencecases.lib.buffalo.edu/cs/ ) contains over 500 case studies that are freely available to instructors, and are accompanied by teaching notes that provide logistical advice and additional resources for implementing the case study, as well as a set of assessment questions with a password-protected answer key. Case study repositories are also maintained by BioQUEST Curriculum Consortium ( http://www.bioquest.org/icbl/cases.php ) and the Science Case Network ( http://sciencecasenet.org ); both are available for use by instructors from outside institutions.

It should be noted that all case studies used in this study were rigorously peer-reviewed and accepted for publication by the NCCSTS prior to the completion of this study ( 2 , 10 , 18 , 25 ); the conclusions of this study may not apply to case studies that were not developed in accordance with similar standards. Because case study teaching involves skills such as creative writing and management of dynamic group discussion in a way that is not commonly integrated into many other teaching methods, it is recommended that novice case study teachers seek training or guidance before writing their first case study or implementing the method. The lack of a difference observed in the use of case studies from different sources should be interpreted with some degree of caution since only two sources were represented in this study, and each by only two cases. Furthermore, in an educational setting, quantitative differences in test scores might produce meaningful qualitative differences in course grades even in the absence of a p value that is statistically significant. For example, there is a meaningful qualitative difference between test scores that result in an average grade of C− and test scores that result in an average grade of C+, even if there is no statistically significant difference between the two sets of scores.

In the future, it could be informative to confirm these findings using a larger cohort, by repeating the study at different institutions with different instructors, by evaluating different case studies, and by directly comparing the effectiveness of the case studying teaching method with additional forms of instruction, such as traditional chalkboard and slide-based lecturing, and laboratory-based activities. It may also be informative to examine whether demographic factors such as student age and gender modulate the effectiveness of the case study teaching method, and whether case studies work equally well for non-science majors taking a science course compared with those majoring in the subject. Since the topical material used in this study is often included in other classes in both high school and undergraduate education, such as cell biology, genetics, and chemistry, the conclusions of this study are directly applicable to a broad range of courses. Presently, it is recommended that the use of case studies in teaching undergraduate general biology and other science courses be expanded, especially for the teaching of capacious issues with real-world applications and in classes where development of written and oral communication skills are key objectives. The use of case studies that involve hands-on activities should be emphasized to maximize the benefit of this teaching method. Importantly, instructors can be confident in the use of pre-published case studies to promote learning, as there is no indication that the effectiveness of the case study teaching method is reliant on the production of novel, customized case studies for each course.

SUPPLEMENTAL MATERIALS

Acknowledgments.

This article benefitted from a President’s Faculty Innovation Grant, Kingsborough Community College. The author declares that there are no conflicts of interest.

† Supplemental materials available at http://jmbe.asm.org

College of Nursing

Driving change: a case study of a dnp leader in residence program in a gerontological center of excellence.

View as pdf A later version of this article appeared in Nurse Leader , Volume 21, Issue 6 , December 2023 . 

The American Association of Colleges of Nursing (AACN) published the Essentials of Doctoral Education for Advanced Practice Nursing in 2004 identifying the essential curriculum needed for preparing advanced practice nurse leaders to effectively assess organizations, identify systemic issues, and facilitate organizational changes. 1 In 2021, AACN updated the curriculum by issuing The Essentials: Core Competencies for Professional Nursing Education to guide the development of competency-based education for nursing students. 1 In addition to AACN’s competency-based approach to curriculum, in 2015 the American Organization of Nurse Leaders (AONL) released Nurse Leader Core Competencies (updated in 2023) to help provide a competency based model to follow in developing nurse leaders. 2

Despite AACN and AONL competency-based curriculum and model, it is still common for nurse leaders to be promoted to management positions based solely on their work experience or exceptional clinical skills, rather than demonstration of management and leadership competencies. 3 The importance of identifying, training, and assessing executive leaders through formal leadership development programs, within supportive organizational cultures has been discussed by national leaders. As well as the need for nurturing emerging leaders through fostering interprofessional collaboration, mentorship, and continuous development of leadership skills has been identified. 4 As Doctor of Nursing Practice (DNP) nurse leaders assume executive roles within healthcare organizations, they play a vital role within complex systems. Demonstration of leadership competence and participation in formal leadership development programs has become imperative for their success. However, models of competency-based executive leadership development programs can be hard to find, particularly programs outside of health care systems.

The implementation of a DNP Leader in Residence program, such as the one designed for The Barbara and Richard Csomay Center for Gerontological Excellence, addresses many of the challenges facing new DNP leaders and ensures mastery of executive leadership competencies and readiness to practice through exposure to varied experiences and close mentoring. The Csomay Center , based at The University of Iowa, was established in 2000 as one of the five original Hartford Centers of Geriatric Nursing Excellence in the country. Later funding by the Csomay family established an endowment that supports the Center's ongoing work. The current Csomay Center strategic plan and mission aims to develop future healthcare leaders while promoting optimal aging and quality of life for older adults. The Csomay Center Director created the innovative DNP Leader in Residence program to foster the growth of future nurse leaders in non-healthcare systems. The purpose of this paper is to present a case study of the development and implementation of the Leader in Residence program, followed by suggested evaluation strategies, and discussion of future innovation of leadership opportunities in non-traditional health care settings.

Development of the DNP Leader in Residence Program

The Plan-Do-Study-Act (PDSA) cycle has garnered substantial recognition as a valuable tool for fostering development and driving improvement initiatives. 5 The PDSA cycle can function as an independent methodology and as an integral component of broader quality enhancement approaches with notable efficacy in its ability to facilitate the rapid creation, testing, and evaluation of transformative interventions within healthcare. 6 Consequently, the PDSA cycle model was deemed fitting to guide the development and implementation of the DNP Leader in Residence Program at the Csomay Center.

PDSA Cycle: Plan

Existing resources. The DNP Health Systems: Administration/Executive Leadership Program offered by the University of Iowa is comprised of comprehensive nursing administration and leadership curriculum, led by distinguished faculty composed of national leaders in the realms of innovation, health policy, leadership, clinical education, and evidence-based practice. The curriculum is designed to cultivate the next generation of nursing executive leaders, with emphasis on personalized career planning and tailored practicum placements. The DNP Health Systems: Administration/Executive Leadership curriculum includes a range of courses focused on leadership and management with diverse topics such as policy an law, infrastructure and informatics, finance and economics, marketing and communication, quality and safety, evidence-based practice, and social determinants of health. The curriculum is complemented by an extensive practicum component and culminates in a DNP project with additional hours of practicum.

New program. The DNP Leader in Residence program at the Csomay Center is designed to encompass communication and relationship building, systems thinking, change management, transformation and innovation, knowledge of clinical principles in the community, professionalism, and business skills including financial, strategic, and human resource management. The program fully immerses students in the objectives of the DNP Health Systems: Administration/Executive Leadership curriculum and enables them to progressively demonstrate competencies outlined by AONL. The Leader in Residence program also includes career development coaching, reflective practice, and personal and professional accountability. The program is integrated throughout the entire duration of the Leader in Residence’s coursework, fulfilling the required practicum hours for both the DNP coursework and DNP project.

The DNP Leader in Residence program begins with the first semester of practicum being focused on completing an onboarding process to the Center including understanding the center's strategic plan, mission, vision, and history. Onboarding for the Leader in Residence provides access to all relevant Center information and resources and integration into the leadership team, community partnerships, and other University of Iowa College of Nursing Centers associated with the Csomay Center. During this first semester, observation and identification of the Csomay Center Director's various roles including being a leader, manager, innovator, socializer, and mentor is facilitated. In collaboration with the Center Director (a faculty position) and Center Coordinator (a staff position), specific competencies to be measured and mastered along with learning opportunities desired throughout the program are established to ensure a well-planned and thorough immersion experience.

Following the initial semester of practicum, the Leader in Residence has weekly check-ins with the Center Director and Center Coordinator to continue to identify learning opportunities and progression through executive leadership competencies to enrich the experience. The Leader in Residence also undertakes an administrative project for the Center this semester, while concurrently continuing observations of the Center Director's activities in local, regional, and national executive leadership settings. The student has ongoing participation and advancement in executive leadership roles and activities throughout the practicum, creating a well-prepared future nurse executive leader.

After completing practicum hours related to the Health Systems: Administration/Executive Leadership coursework, the Leader in Residence engages in dedicated residency hours to continue to experience domains within nursing leadership competencies like communication, professionalism, and relationship building. During residency hours, time is spent with the completion of a small quality improvement project for the Csomay Center, along with any other administrative projects identified by the Center Director and Center Coordinator. The Leader in Residence is fully integrated into the Csomay Center's Leadership Team during this phase, assisting the Center Coordinator in creating agendas and leading meetings. Additional participation includes active involvement in community engagement activities and presenting at or attending a national conference as a representative of the Csomay Center. The Leader in Residence must mentor a master’s in nursing student during the final year of the DNP Residency.

Implementation of the DNP Leader in Residence Program

PDSA Cycle: Do

Immersive experience. In this case study, the DNP Leader in Residence was fully immersed in a wide range of center activities, providing valuable opportunities to engage in administrative projects and observe executive leadership roles and skills during practicum hours spent at the Csomay Center. Throughout the program, the Leader in Residence observed and learned from multidisciplinary leaders at the national, regional, and university levels who engaged with the Center. By shadowing the Csomay Center Director, the Leader in Residence had the opportunity to observe executive leadership objectives such as fostering innovation, facilitating multidisciplinary collaboration, and nurturing meaningful relationships. The immersive experience within the center’s activities also allowed the Leader in Residence to gain a deep understanding of crucial facets such as philanthropy and community engagement. Active involvement in administrative processes such as strategic planning, budgeting, human resources management, and the development of standard operating procedures provided valuable exposure to strategies that are needed to be an effective nurse leader in the future.

Active participation. The DNP Leader in Residence also played a key role in advancing specific actions outlined in the center's strategic plan during the program including: 1) the creation of a membership structure for the Csomay Center and 2) successfully completing a state Board of Regents application for official recognition as a distinguished center. The Csomay Center sponsored membership for the Leader in Residence in the Midwest Nurse Research Society (MNRS), which opened doors to attend the annual MNRS conference and engage with regional nursing leadership, while fostering socialization, promotion of the Csomay Center and Leader in Residence program, and observation of current nursing research. Furthermore, the Leader in Residence participated in the strategic planning committee and engagement subcommittee for MNRS, collaborating directly with the MNRS president. Additional active participation by the Leader in Residence included attendance in planning sessions and completion of the annual report for GeriatricPain.org , an initiative falling under the umbrella of the Csomay Center. Finally, the Leader in Residence was involved in archiving research and curriculum for distinguished nursing leader and researcher, Dr. Kitty Buckwalter, for the Benjamin Rose Institute on Aging, the University of Pennsylvania Barbara Bates Center for the Study of the History of Nursing, and the University of Iowa library archives.

Suggested Evaluation Strategies of the DNP Leader in Residence Program

PDSA Cycle: Study

Assessment and benchmarking. To effectively assess the outcomes and success of the DNP Leader in Residence Program, a comprehensive evaluation framework should be used throughout the program. Key measures should include the collection and review of executive leadership opportunities experienced, leadership roles observed, and competencies mastered. The Leader in Residence is responsible for maintaining detailed logs of their participation in center activities and initiatives on a semester basis. These logs serve to track the progression of mastery of AONL competencies by benchmarking activities and identifying areas for future growth for the Leader in Residence.

Evaluation. In addition to assessment and benchmarking, evaluations need to be completed by Csomay Center stakeholders (leadership, staff, and community partners involved) and the individual Leader in Residence both during and upon completion of the program. Feedback from stakeholders will identify the contributions made by the Leader in Residence and provide valuable insights into their growth. Self-reflection on experiences by the individual Leader in Residence throughout the program will serve as an important measure of personal successes and identify gaps in the program. Factors such as career advancement during the program, application of curriculum objectives in the workplace, and prospects for future career progression for the Leader in Residence should be considered as additional indicators of the success of the program.

The evaluation should also encompass a thorough review of the opportunities experienced during the residency, with the aim of identifying areas for potential expansion and enrichment of the DNP Leader in Residence program. By carefully examining the logs, reflecting on the acquired executive leadership competencies, and studying stakeholder evaluations, additional experiences and opportunities can be identified to further enhance the program's efficacy. The evaluation process should be utilized to identify specific executive leadership competencies that require further immersion and exploration throughout the program.

Future Innovation of DNP Leader in Residence Programs in Non-traditional Healthcare Settings

PDSA Cycle: Act

As subsequent residents complete the program and their experiences are thoroughly evaluated, it is essential to identify new opportunities for DNP Leader in Residence programs to be implemented in other non-health care system settings. When feasible, expansion into clinical healthcare settings, including long-term care and acute care environments, should be pursued. By leveraging the insights gained from previous Leaders in Residence and their respective experiences, the program can be refined to better align with desired outcomes and competencies. These expansions will broaden the scope and impact of the program and provide a wider array of experiences and challenges for future Leaders in Residency to navigate, enriching their development as dynamic nurse executive leaders within diverse healthcare landscapes.

This case study presented a comprehensive overview of the development and implementation of the DNP Leader in Residence program developed by the Barbara and Richard Csomay Center for Gerontological Excellence. The Leader in Residence program provided a transformative experience by integrating key curriculum objectives, competency-based learning, and mentorship by esteemed nursing leaders and researchers through successful integration into the Center. With ongoing innovation and application of the PDSA cycle, the DNP Leader in Residence program presented in this case study holds immense potential to help better prepare 21 st century nurse leaders capable of driving positive change within complex healthcare systems.

Acknowledgements

         The author would like to express gratitude to the Barbara and Richard Csomay Center for Gerontological Excellence for the fostering environment to provide an immersion experience and the ongoing support for development of the DNP Leader in Residence program. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

  • American Association of Colleges of Nursing. The essentials: core competencies for professional nursing education. https://www.aacnnursing.org/Portals/42/AcademicNursing/pdf/Essentials-2021.pdf . Accessed June 26, 2023.
  • American Organization for Nursing Leadership. Nurse leader core competencies. https://www.aonl.org/resources/nurse-leader-competencies . Accessed July 10, 2023.
  • Warshawsky, N, Cramer, E. Describing nurse manager role preparation and competency: findings from a national study. J Nurs Adm . 2019;49(5):249-255. DOI:  10.1097/NNA.0000000000000746
  • Van Diggel, C, Burgess, A, Roberts, C, Mellis, C. Leadership in healthcare education. BMC Med. Educ . 2020;20(465). doi: 10.1186/s12909-020-02288-x
  • Institute for Healthcare Improvement. Plan-do-study-act (PDSA) worksheet. https://www.ihi.org/resources/Pages/Tools/PlanDoStudyActWorksheet.aspx . Accessed July 4, 2023.
  • Taylor, M, McNicolas, C, Nicolay, C, Darzi, A, Bell, D, Reed, J. Systemic review of the application of the plan-do-study-act method to improve quality in healthcare. BMJ Quality & Safety. 2014:23:290-298. doi: 10.1136/bmjqs-2013-002703

Return to College of Nursing Winter 23/24 Newsletter

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • View all journals
  • My Account Login
  • Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • Open access
  • Published: 19 February 2024

A fault diagnosis method for wireless sensor network nodes based on a belief rule base with adaptive attribute weights

  • Ke-Xin Shi 1 ,
  • Shi-Ming Li 1 ,
  • Guo-Wen Sun 1 ,
  • Zhi-Chao Feng 2 &

Scientific Reports volume  14 , Article number:  4038 ( 2024 ) Cite this article

143 Accesses

Metrics details

  • Engineering
  • Mathematics and computing

Due to the harsh operating environment and ultralong operating hours of wireless sensor networks (WSNs), node failures are inevitable. Ensuring the reliability of the data collected by the WSN necessitates the utmost importance of diagnosing faults in nodes within the WSN. Typically, the initial step in the fault diagnosis of WSN nodes involves extracting numerical features from neighboring nodes. A solitary data feature is often assigned a high weight, resulting in the failure to effectively distinguish between all types of faults. Therefore, this study introduces an enhanced variant of the traditional belief rule base (BRB), called the belief rule base with adaptive attribute weights (BRB-AAW). First, the data features are extracted as input attributes for the model. Second, a fault diagnosis model for WSN nodes, incorporating BRB-AAW, is established by integrating parameters initialized by expert knowledge with the extracted data features. Third, to optimize the model's initial parameters, the projection covariance matrix adaptive evolution strategy (P-CMA-ES) algorithm is employed. Finally, a comprehensive case study is designed to verify the accuracy and effectiveness of the proposed method. The results of the case study indicate that compared with the traditional BRB method, the accuracy of the proposed model in WSN node fault diagnosis is significantly improved.

Introduction

Wireless sensor networks (WSNs) are commonly used in industrial practices for environmental detection due to their low power consumption and high sensitivity. However, due to the complex and variable working environment of sensor nodes, the failure of sensor nodes is inevitable. Hence, it is crucial to diagnose faults in WSN nodes to ensure industrial production safety and timely data collection 1 .

The commonly used methods for fault diagnosis of WSN nodes are model-based methods, data-driven methods, and hybrid information-based methods 2 , 3 . The modelling analysis approach realizes fault diagnosis through mathematical mechanisms and functions 4 , 5 , 6 , 7 , which is the most frequently used method. However, the accuracy of this method is limited due to the high complexity of the actual environment system. The data-driven method has higher model accuracy and relies on analysing data samples 8 . However, in the harsh environment where the sensors are located, the existence of interference factors will lead to the unreliable data involved in training, which will lead to a reduction in the diagnostic accuracy 9 . The hybrid information-based methods can realize the combination of different methods 10 . This type of approach integrates qualitative knowledge and quantitative data through the use of various models. However, there is a common problem with both model-based and data-driven approaches. It is difficult to ensure the effectiveness and accuracy of the model in different environments 11 .

To solve the above problems, this paper proposes a WSN node fault diagnosis model based on BRB-AAW, where AAW denotes adaptive attribute weights. The main contributions of this paper are listed as follows:

A new belief rule base with adaptive attribute weights (BRB-AAW) model is constructed, and the concept of adaptive attribute weights is proposed. The original static attribute weights are improved, and reasonable attribute weights are assigned to all rules, thus improving the performance of BRB in the presence of unreliable data.

A WSN fault diagnosis method based on BRB-AAW is proposed to obtain more reasonable attribute weights under different conditions, which can effectively improve the accuracy of the diagnosis results.

The article follows the following structure. " Introduction " provides an overview of the current state of research on node fault diagnosis in WSNs, highlighting the benefits of the approach proposed in this paper. " Related work " describes the popular WSN node fault diagnosis methods and compares them with the BRB-AAW-based diagnosis methodology approach. " Problem formulation " addresses the challenges experienced in WSN node fault diagnosis and presents the underlying model architecture. " Establishment of the WSN nodes fault diagnosis model based on BRB-AAW " elaborates on the extraction process of data features, the model inference process, and the approach used for parameter optimization. In " Case study ", the proposed fault diagnosis method is validated through the examination of the specific case. In " Conclusion ", the proposed fault diagnosis methods and outlined potential future study directions are summarized.

Related work

Because of the expanding range of WSN applications, an increasing number of scholars have taken the fault diagnosis of WSN nodes as a research topic 10 , 11 . Abdalzaher et al. proposed a method for estimating missing sensor data 12 . Mohamed et al. worked through two attack defense methods based on a Stackelberg game to protect sensor nodes from attacks 13 . Seddik et al. presented an improved Stackelberg game method that can detect damaged sensor transmission data more efficiently 14 . Selvakumar et al. provided a trust estimation model based on a fuzzy expert system to evaluate nodes and predict possible future changes based on inference mechanisms 15 . Ullah et al. proposed a novel data aggregation scheme based on node clustering and extreme learning machines that effectively reduces redundant and erroneous data 9 . Laiou et al. used a machine learning-based decision tree algorithm to detect and diagnose faults to detect and classify fault data from WSNs 16 .

Most of the above methods are model-based methods and data-driven methods, so these diagnostic methods have common disadvantages. First, all of these methods require a large and uniform number of samples for training parameters. Second, these methods all set many parameters that have no physical meaning, leading to their low interpretability.

Using a hybrid information-based approach, the belief rule base (BRB) has emerged as a potent method for effectively modelling intricate systems. In 2006, a belief rule-based reasoning method known as RIMER was introduced by Yang et al., employing an evidential reasoning (ER) approach 17 . The utilization of an expert system composed of BRB and ER rules allows for enhanced flexibility in representing a multitude of uncertain information, enveloping vagueness, unpredictability, and ignorance. The determination of parameters within the BRB is entrusted to domain experts, drawing upon empirical knowledge and imbuing them with substantial physical significance within the model. This distinctive characteristic empowers the BRB to attain precise outcomes while relying on minimal training data. Expanding upon these advancements, Zhang et al. presented a method based on wavelet packets and BRB 18 . Nevertheless, it is important to note that this approach still has limitations when dealing with fault data that is not entirely reliable.

In 2020, a fault diagnosis method utilizing a belief rule base with mixed reliability was presented by Cheng et al. 19 . This method specifically considers two disruptive factors that impact the observed data: sensor performance and external environmental influence. These factors are quantified as static reliability and dynamic reliability attributes within the belief rule base (BRB) 20 , 21 . However, it is worth noting that the current approach for calculating hybrid reliability may not be suitable for input data characterized by substantial variations. In 2022, Sun et al. proposed the BRB fault diagnosis model with an adaptive quality factor (BRB-SAQF) 21 . The method adds the attribute quality factor as a new input attribute to reduce the impact of unreliable data features on fault diagnosis accuracy. Nevertheless, it is notable that the attribute quality factor approach does not take into account the needed changes in attribute weights for different environments.

It is necessary to design a method to mitigate the effect of inaccurate data on the identification process and address the limitation in calculating the reliability of static attribute weights 19 , and a BRB-AAW-based fault diagnosis model for WSN nodes is proposed. First, the concept of adaptive attribute weights is proposed, which can distinguish fault types more effectively. Second, the calculation method of adaptive attribute weights is redesigned on the basis of the static attribute weight calculation method. In addition, the proposed method requires fewer training samples than the neural network method due to the advantage of BRB in utilizing small samples for training 22 . Finally, because the parameters in BRB are established by experts and possess physical significance, this methodology offers a higher level of interpretability compared to neural network approaches. To demonstrate that BRB-AAW can effectively improve the accuracy of diagnostic results, it is compared with popular algorithms that can be used for binary classification.

Problem formulation

In the following section, the issues in the diagnosis of WSNs are identified, and the structure of the model is constructed based on these issues. The notation dictionary is described in " Dictionary of notations ", the basic BRB composition is documented in " Basic belief rule base ", and the problem is formulated by the formula in " Problem formulation ".

Dictionary of notations

The notations dictionary, which encompasses the symbols used throughout this article, is provided for clarity and comprehension, as shown in Table 1 .

Basic belief rule base

The BaseBRB effectively harnesses engineering experience and expert knowledge, showcasing its capability to integrate limited samples of monitoring data and possessing robust nonlinear modelling capabilities. It operates as a modelling approach rooted in IF–THEN rules, comprised of a series of belief rules. The belief rules can be described by Eq. ( 1 ).

In the expression of belief rules, \(R_{k}\) denotes the \(W{\text{th}}\) belief rule, \(a_{1} \left( t \right),...,a_{W} \left( t \right)\) represents a sample with \({\text{W}}\) prerequisite attributes, \({\text{F}}_{1} ,...,{\text{F}}_{W}\) represents the reference value corresponding to the W prerequisite attributes, \(H_{1} ,...,H_{N}\) represents the \(N\) possible outcomes, \(D_{1} ,...,D_{N}\) represents the belief degrees associated with each outcome under the \({\text{k - th}}\) belief rule, \(\theta_{1} ,...,\theta_{k}\) denotes the rule weight of the \(k{\text{th}}\) belief rule, and \(\updelta _{1}^{{}} {,}...,\updelta _{w}^{{}}\) represents the attribute weight of each prerequisite attribute.

A typical WSN consists of four main components: the sensor nodes, the wireless transmission channels, the sink node, and the information processing center. The wireless sensor nodes are responsible for collecting various types of environmental data. The wireless transmission channels facilitate communication between different nodes. The sink node detects connections between the region and external networks. Finally, the processing center aggregates and processes data sent by different sensors.

Fault diagnosis can be divided into four parts: obtaining characteristics of faulty sensor data, determining adaptive attribute weights based on different environments, diagnosing faults by combining various information sources, and improving model parameters using optimization algorithms. The four problems are described as follows:

Problem 1: The fault diagnosis model necessitates extracting diverse data features as input attributes. In the realm of WSNs, data obtained from distinct sensors exhibit resemblances, encompassing temporal and spatial correlations. Upon the failure of a WSN node, these correlation features undergo alterations. Hence, it becomes imperative to scrutinize the raw data collected by the sensors and extract data features that bear time-based or spatial associations. These extracted features are employed as input variables. The extraction of data features can be described by Eq. ( 2 ).

The function \(\mu ()\) is employed to denote the extraction of features from the raw data acquired by the WSN, where \(\Lambda\) signifies the parameters involved in this process. Specifically, \({\text{a}}_{1} \left( t \right){\text{,a}}_{2} \left( t \right),...,{\text{a}}_{w} \left( t \right)\) represents the \({\text{w}}\) attribute data features over a given time interval, while \(X\) denotes the raw data gathered by the sensor device within that time duration. The variable \({\text{t}}\) refers to a specific moment within the time interval.

Problem 2: The model is designed to improve the reliability of fixed attribute weights and initialize adaptive attribute weights on its basis. The reliability of the information collected by WSN nodes is affected by the harsh working environment, which leads to deviation in the input attributes and thus affects the accuracy of the attribute weights. In addition, when the diagnostic model is too complex, the update time of the model parameters is long, and the timeliness of its modelled attribute weights is limited. Therefore, expert knowledge is needed to construct an accurate diagnostic model. The process of building adaptive attribute weights can be expressed as Eq. ( 3 ).

\(\delta_{{\text{j}}}^{{\text{i}}}\) is the adaptive attribute weight, and K represents the total number of rules in the BRB model. \(\delta_{{\text{j}}}^{{}}\) represents the previous fixed attribute weight, \(\Xi\) represents the expert knowledge used to initialize the adaptive attribute weight, and \(g()\) indicates the function for calculating the adaptive attribute weight.

Problem 3: The fault diagnosis model needs to combine multiple sources of information to reason about the diagnosis results. Restricted by the monitoring environment of WSNs, a large amount of high-value data cannot be collected. The accuracy of models constructed solely from expert knowledge is insufficient. Therefore, it is necessary to consider how the different information collected can be aggregated into the following fault diagnosis model. This BRB inference process with adaptive attribute weights can be expressed as Eq. ( 4 ).

where \(S\left( t \right)\) is the predicted fault state of the diagnostic system. \(\tau\) represents the other parameters involved in this process.

Problem 4: To enhance the accuracy of diagnosis outcomes, optimization algorithms are essential for refining the initial parameters of the model. Due to the high complexity of the working environment of WSNs, experts cannot provide highly accurate information to construct the fault diagnosis model, so the initial parameters of the model provided by them are not optimal. Therefore, it is necessary to use parameter optimization algorithms to improve the parameters. This parameter optimization process can be denoted as Eq. ( 5 ).

The optimized parameters are represented by \(\tau_{{{\text{best}}}}\) , where \(\tau_{{}}\) denotes the parameters to be optimized. The optimization algorithm's parameters are indicated by \(\beta\) , and \(h()\) represents the parameter optimization algorithm.

Establishment of the WSN nodes fault diagnosis model based on BRB-AAW

The BRB-AAW technique is employed to address the main issues encountered during the fault diagnosis of WSN nodes in " Establishment of the WSN nodes fault diagnosis model based on BRB-AAW ". This section will put forth resolutions to tackle these predicaments. The structure of the BRB-AAW-based WSN fault diagnosis model is described in " Basic structure of the model ", the selection process of data features is recorded in " Extraction of data features ", the modelling process of BRB-AAW is presented in " Formulation of rules and reasoning process of the BRB-AAW ", the optimization process of model parameters by the P-CMA-ES algorithm is documented in " Optimization process of the model ", and the overall modelling process of the BRB-AAW-based WSN fault diagnosis model is illustrated in " Model building process ".

Basic structure of the model

The faults of the WSN nodes are diagnosed using the BRB-AAW approach, which involves breaking down the diagnosis model into four main components. First, data features that are beneficial for fault diagnosis are extracted from the original data. Second, the adaptive input attribute weights, initialized based on expert knowledge, are incorporated. The third component comprises the generation of rules and reasoning module, where the rules in BRB-AAW are initialized and the reasoning process is performed while considering the adaptive attribute weights. Finally, a constrained optimization algorithm is employed to refine the initial parameters of the model, in order to obtain more precise diagnosis outcomes. Figure  1 provides an illustration of the fundamental structure of the model.

figure 1

Elements of the BRB-AAW model.

Extraction of data features

To distinguish the types of faults occurring in the nodes, various data features should be derived from the data collected by the WSN nodes. In the present study, MeanGap and Kurtosis are used as data features extracted to distinguish different types of faults 23 , with MeanGap helping to assess overall variability and Kurtosis highlighting extreme observations or critical thresholds in the dataset. In addition, both data features are time-varying and can be calculated using Eq. ( 6 ).

The MeanGap between moments \(Q\) and \(Q + T\) can be calculated using Eq. ( 6 ). \(T\) indicates a time interval.

Kurtosis is a critical feature of the number distribution curve that characterizes the degree of sharpness or flatness of its peak. It can be calculated using Eq. ( 7 ).

The average value of the data is represented by \(\overline{{{\text{a}}_{i} }}\) . The standard deviation of the data is denoted by \(\upalpha ^{4}\) .

Formulation of rules and reasoning process of the BRB-AAW

After extracting the input data features, the next step is to use the data features as input attributes and then build the rules for the BRB-AAW model. The structure of the \({\text{kth}}\) rule \(R_{k}\) is outlined in Eq. ( 8 ).

The model has \({\text{w}}\) input attributes denoted by \({\text{a}}_{{\text{i}}} (t)(i = 1,2...,w)\) , and the set of reference values used to evaluate these attributes is represented by \(F_{{\text{i}}} (i = 1,2...,w)\) . The BRB-AAW model produces \(N\) fault state evaluation results, denoted by \(H_{{\text{i}}} (i = 1,2...,N)\) . Each of these results corresponds to a belief degree \(\theta_{{\text{i}}} (i = 1,2...,k)\) under the \(k{\text{th}}\) belief rule. The \(i - th\) belief rule has a rule weight of \(\theta_{i}\) , and there are \({\text{k}}\) such belief rules. Additionally, \(\delta_{1}^{{\text{k}}} ,...,\delta_{W}^{{\text{k}}}\) represents the adaptive attribute weights in the \(i - th\) belief rule in the set of adaptive attribute weights \(\left[ {\updelta _{1}^{1} {,}\updelta _{2}^{1} ,...,\updelta _{w}^{1} } \right],...,\left[ {\updelta _{1}^{k} {,}\updelta _{2}^{k} ,...,\updelta _{w}^{k} } \right]\) , which is obtained based on the simulation judgment results of data features and expert knowledge. Adaptive attribute weights can avoid the influence of unreliable data features in different environments.

After completing the rule construction process, the next step is to incorporate the adaptive attribute weights into the inference process of the BRB model. This study's BRB model inference process, considering adaptive attribute weights, consists of five distinct steps.

Step 1: The initial step in the inference process involves calculating the matching degree of attributes. This is accomplished by inputting attribute data and calculating the corresponding matching degree with reference points, utilizing input and reference values as a basis. The calculation process is described by Eq. ( 9 ).

The equation encompasses the matching degree of the \(j{\text{th}}\) reference value of the \(i{\text{th}}\) attribute, denoted as \(\uprho _{{\text{i}}}^{{\text{j}}}\) , the current value of the input attribute denoted by \(a_{j}\) , and the \(k{\text{th}}\) reference value of the \(i{\text{th}}\) attribute denoted by \(F_{{\text{i}}}^{{\text{k}}}\) . This formula can be utilized to compute the degree of match of the attribute reference value when the condition represented by \({\text{F}}_{{\text{i}}}^{{\text{k}}} \le a_{i} \left( {\text{t}} \right) \le {\text{F}}_{{\text{i}}}^{{\text{k + 1}}}\) is fulfilled.

Step 2: Initialization of adaptive attribute weights is considered. In this step, the fixed attribute weights are initialized to different adaptive attribute weights based on the initialization information provided by expert knowledge 24 . The initialization process is shown in Eq. ( 3 ):

Step 3: The matching degree of the \(k{\text{th}}\) rule is computed by computing the attribute matching. Subsequently, the match of the rule in BRB needs to be determined. If the match of the rule is nonzero, the rule is activated; otherwise, it remains deactivated. Equation (10) illustrates the formula for calculating the matching degree of a rule. \(\rho_{{\text{k}}}^{{\text{i}}}\) represents the matching degree of the \(i{\text{th}}\) attribute in the \(k{\text{th}}\) rule.

Step 4: Once the matching degree of the rules has been calculated and the activated rules have been identified, the next step is to calculate the activation weights of the rules. The activation weights can be computed using Eq. ( 11 ).

In the equation above, the variable \(\theta_{i}\) represents the weight of the \(k{\text{th}}\) rule, while the variable \(\rho_{i}\) represents the matching degree of the same rule. The symbol \(K\) represents the total number of rules in the BRB model. Only the rules that are activated have a nonzero activation weight, while the activation weight for nonactivated rules is zero.

Step 5: After identifying the activated rules, they are integrated using an ER algorithm to obtain a fused belief degree 25 . The calculation method for this is demonstrated through Eqs. (13) and (14).

The framework for identifying fault diagnosis models consists of \(N\) levels, denoted as \(N\) , while the number of rules that have been triggered is represented by \(K\) . The activation weight of a rule is denoted by \(\mho_{i}\) , while the belief degree of consequent \(j\) in rule \(i\) is represented by \(D_{j,i}\) . The expert knowledge determines the initial belief degree. By using Eqs. ( 12 ) and ( 13 ) for calculation, Eq. ( 14 ) shows the resulting output.

where \(p\left( {H_{i} } \right)\) is the utility of the \(i{\text{th}}\) fault diagnosis, determined by the expert based on the actual fault state. \(S\left( {\text{t}} \right)\) represents the final diagnosis result obtained by the fault diagnosis model.

The above analysis presents an introduction to the inference process of BRB-AAW. Figure  2 illustrates the entire inference process in graphical format.

figure 2

Reasoning process of the BRB-AAW.

Optimization process of the model

The initial values for rule weights, belief degrees of BRB-AAW, and adaptive attribute weights are determined by expert knowledge, as explained in " Extraction of data features ". However, in cases where the model comprises a large number of parameters and the experts' experience and knowledge are insufficient, the initial parameter settings may not be reasonable. This could have an adverse impact on the model diagnosis accuracy. To address this issue, this paper proposes a model optimization process that employs the projection covariance matrix adaptive evolution strategy (P-CMA-ES) to optimize the model parameters 26 , 27 . The optimized parameters that require optimization must satisfy the following conditions.

To optimize the model, the objective function employed is the mean square error (MSE), represented by MSE. Equation (15) provides the expression for this objective function.

Once the parameters to be fine-tuned and the constraints have been established, it is necessary to define a metric that reflects the efficacy of the optimization. Suppose that the outcome of the optimization procedure is \(S({\text{t}})_{{{\text{expected}}}}^{{}}\) , whereas the initial output from the dataset for training purposes is \(S(t)_{{}}^{{}}\) . Based on the analysis above, the optimization process of the model can be interpreted as the quest for the minimum threshold of the mean square error (MSE) between the predicted results and the actual results. The MSE is calculated using Eq. ( 16 ), where NUM signifies the count of data points employed in the optimization of the parameters. The optimization of model parameters is carried out using the P-CMA-ES algorithm, which is illustrated in Fig.  3 .

figure 3

Optimization process using the P-CMA-ES algorithm.

Model building process

Upon analysing the contents of this section, the process of creating a WSN node diagnostic fault model using BRB-AAW can be broken down into the following steps, as shown in Fig. 4 :

figure 4

BRB-AAW-based fault diagnosis model for WSN nodes.

Step 1: Extract the WSN node's data features from the original data and employ them as the initial attributes of the BRB-AAW model.

Step 2: Improve the static attribute weights and obtain reasonable attribute weights based on expert knowledge.

Step 3: The parameters are given initial values, and rules are integrated by the ER parsing algorithm.

Step 4: To enhance the diagnostic accuracy of the model, the initial parameters are optimized using the P-CMA-ES algorithm.

Within this section, a comparative analysis is performed between BRB-AAW and other fault diagnosis methods using sensor data sourced from Intel Berkeley Research Lab. The findings demonstrate a notable enhancement in the accuracy of fault diagnosis results for WSN nodes when utilizing the BRB-AAW method. The sensor distribution is shown in Fig. 5 . The necessary information for the Intel Labs data is shown in Table 2 . The process of obtaining the observed data and the fault identification framework setup is formulated in " Dataset setting ", the initial parameters needed for the BRB-AAW model are calculated in " Construction of the BRB-AAW model ", the metrics observed in the example are documented in " Training and testing of the model ", the results of the comparisons between the parameter optimization algorithms are shown in " Comparison of optimization algorithms ", the results of the comparative experiments with multiple metrics are shown in " Results of the experiment ", and the comparison of the BRB and the BRB-AAW with the multiple rounds of the control variable experiments are documented in " Comparison with other methods ".

figure 5

Distribution of laboratory sensors.

Dataset setting

Step 1: The dataset undergoes preprocessing to establish the diagnostic result set of the model. It comprises thermal conditions, atmospheric moisture, brightness, and electrical potential data gathered by sensors deployed within a laboratory room. Taking into account the sensor arrangement and the trajectory of the data 28 , temperature readings collected by sensors 1 through 4 recorded between March 1 and 7 were selected for further analysis. Preprocessing is necessary due to data gaps. Furthermore, to showcase the model's capacity to effectively address noisy data, Gaussian noise is added during dataset simulation.

After processing, the dataset comprises a total of 2016 data points with a 5-min interval between successive records. Figure 6 illustrates the temperature data recorded by sensors 1 through 4.

figure 6

Sensor data after preprocessing.

Step 2: This paper endeavors to identify sensor states, including normal, fixed-value faults, outlier faults, high-noise faults, and offset faults. To achieve this, the simulation of the aforementioned five sensor state types on sensor 1 was carried out using a software-based approach that aligns with specific characteristics of faults. The technique employed for simulating state data is presented in Table 3 , and Fig. 7 illustrates the resulting simulated state data. In Fig. 7 , 1–399 indicates normal data, and 400–799 indicates offset fault data. 800–1199 is high noise fault data, 1200–1599 is abnormal value fault data and 1600–2016 is fixed value fault data.

figure 7

Sensor data after adding Gaussian noise.

Step 3: According to the dataset in the case study, the framework for identifying fault diagnosis models produces five separate states: normal states (NS), offset faults (OSF), high noise faults (HNF), outlier faults (OLF), and fixed value faults (FVF). These states are defined by Eq. ( 17 ), with their respective reference values provided in Eq. ( 18 ).

Construction of the BRB-AAW model

Step 1: Following data preparation, the data features were extracted utilizing the approach outlined in " Dataset setting ". Specifically, the \(MeanGap\) and \(Kurtosis\) were extracted as input features of the model. The duration for feature extraction was set to 12, and the resulting features were normalized. Figure  8 illustrates the extracted data features. The mean gap data feature in the 800–1199 part of Fig.  8 is more effective in distinguishing between differentiated fault types than the \(Kurtosis\) data feature in the same part of Fig.  8 . Therefore, this serves as an important basis for expert knowledge to provide the set of adaptive attribute weights.

figure 8

Mean gap data feature image.

Step 2: After the extraction of data features, it is necessary to determine the reference values and reference points for each attribute. To accomplish this, the data distribution characteristics of Figs.  8 and 9 were considered. Specifically, benchmark values and reference points for the MeanGap and Kurtosis were established. For the MeanGap, reference points were established as small (S), relatively small (RS), medium (M), relatively large (RL), and large (L), with corresponding reference values presented in Table 4 . Conversely, Kurtosis was characterized by reference points of small (S), relatively small (RS), relatively large (RL), and large (L), with associated reference values displayed in Table 5 .

figure 9

Comparative results of optimization algorithms.

Step 3: The optimization of other parameters of the model is performed by applying the P-CMA-ES approach described in " Optimization process of the model ". The optimized parameters are presented in Table 6 , where each row corresponds to a rule. After optimization, the model inference process described in " Formulation of rules and reasoning process of the BRB-AAW " is employed in conjunction with the optimized parameters for the purpose of sensor fault diagnosis and result generation.

Training and testing of the model

Training data and iterative data are determined, and data features are extracted from the simulated fault data. The data samples are randomly divided into 3:7, 4:6, 5:5, 6:4, 7:3, and 8:2 according to the commonly used training and test set ratios.

The evaluation criteria for the fault diagnosis model are established. To assess the effectiveness of the method, the evaluation metrics chosen include overall accuracy, false negative rate (FNR), false positive rate (FPR), true positive rate (TPR), true negative rate (TNR), and precision. In this context, samples without faults are considered negative samples, while samples with faults are considered positive samples. The equations representing these metrics are provided as follows: Eq.  ( 19 ) for \(Accuracy\) , Eq. ( 20 ) for \(FNR\) , Eq. ( 21 ) for \(FPR\) , Eq. ( 22 ) for \(TNR\) , Eq. ( 23 ) for \(TPR\) , and Eq. ( 24 ) for \(Precision\) .

The variable \(NUM_{{{\text{brochure}}}}\) indicates the quantity of correctly diagnosed samples by the model. The term \(NUM_{{{\text{right}}}}\) refers to the overall number of samples analysed.

The variable FN represents the quantity of samples that were falsely diagnosed as negative, while TP indicates the number of samples that were accurately diagnosed as positive.

The variable FP denotes the quantity of samples that were falsely diagnosed as positive, while TN indicates the number of samples that were correctly diagnosed as negative.

The variable TN denotes the quantity of samples judged negative and actually negative.

The variable TP denotes the quantity of samples judged positive and actually positive, while TN indicates the number of samples that were correctly diagnosed as negative.

Comparison of optimization algorithms

Expert knowledge is utilized to set parameters such as adaptive attribute weights and rule weights, but these initial parameter settings may not be the best. Therefore, optimization algorithms are employed to achieve more precise diagnosis results. Three common optimization algorithms for BRB, namely, particle swarm optimization (PSO), the genetic algorithm (GA), and the P-CMA-ES method, are tested on six distinct datasets of varying sizes, as described in " Training and testing of the model ". The test outcomes are illustrated in Fig.  9 . First, the GA exhibits the highest MSE value and the least favorable optimization effect. The PSO algorithm and P-CMA-ES algorithm yield similar MSE values. Second, in terms of optimization time, the GA algorithm and P-CMA-ES algorithm demonstrate comparable performance. However, the GA exhibits an excessively high MSE value. Finally, the P-CMA-ES algorithm emerges as the most effective optimization algorithm for the model. The optimized results are presented in Table 7 .

Results of the experiment

To verify that the BRB-AAW-based WSN node fault diagnosis method can effectively reduce the influence of noisy data on the WSN node fault diagnosis process, experiments were conducted using BRB-AAW, artificial neural network, Gaussian regression, SVM, decision tree, and boosting tree at different ratios of training samples to test samples. In addition to the above methods, it can be compared with algorithms such as logistic regression, plain Bayesian classifier, K-nearest neighbor classification, and K-mean clustering, and the comparison metrics include the overall accuracy, false negative rate (FNR), false positive rate (FPR), true positive rate (TPR), true negative rate (TNR), and precision. The experimental results are presented in Fig.  10 . Indicators data for different methods at different ratios of training samples to test samples can be seen in Table 8 .

figure 10

Experimental results for different ratios of training samples to test samples.

Comparison with other methods

To assess the effectiveness of the method proposed in this paper and the advancements made by the BRB method, a comparison with other methods was carried out. The fault diagnosis results were compared to those obtained using the BRB method, as illustrated in Fig.  11 . The average values of the assessment indicators for each method are presented in Fig.  12 . Taking the ratio of training samples to test samples as 7 to 3 as an example, the values of all assessment metrics of each method are shown in Fig.  13 .

figure 11

Evaluation of the diagnostic results of the BRB-AAW in comparison to the BRB.

figure 12

The average results of BRB-AAW compared with other methods.

figure 13

All results of BRB-AAW compared to other methods at the same training to test sample ratio.

Upon conducting a comparison between the outcomes of the BRB-AAW and BRB, it becomes apparent that the BRB-AAW values more accurately reflect the real scenario, particularly when the standard value is 0. The test results indicated that BRB-AAW's overall accuracy, narrow neural networks, and SVM were 92.25%, 90.29%, and 87.98%, respectively, while the corresponding values for BRB were 90.24%, 23.35%, and 1.09% 29 . The scattered diagnostic results of the BRB approach can be attributed to the use of static attribute weights, which can lead to incorrect fault type identification based on attribute weights. To address this issue, adaptive attribute weights are obtained by improving static attribute weights, which enhances the relevance of diagnosis and effectively identifies fault types.

Based on the comparison of evaluation indexes among different methods, the following conclusions can be drawn. First, the BRB-AAW and BRB methods generally outperform other approaches in relation to \(Accuracy\) . Second, the BRB-AAW method exhibits a low occurrence of false positives, which reduces the likelihood of nodes being misdiagnosed as faults. Finally, there are minor discrepancies in the false-negative rate across all methods, fluctuating by approximately 1.3% or less, and there are no significant differences observed.

These results can be attributed to several factors. First, the BRB-AAW method incorporates adaptive attribute weights and enhances the calculation methodology for attribute weights, enabling the identification of reliable fault types and more precise adaptive attribute weights. Second, the reasoning approach employed by BRB-AAW is similar to that of BRB and can effectively deal with ambiguous information, including vagueness, unpredictability, and ignorance. Finally, the configuration of the model parameters for BRB-AAW is based on expert knowledge and experience, resulting in more reasonable parameter values. The synergistic effect of these factors contributes to the improved accuracy of diagnosis in the BRB-AAW method.

After analysing the relevant literature, there are three problems with the current fault diagnosis methods used for WSNs. First, these methods do not take into account the effect of environmental noise on sensor readings during fault diagnosis. Second, the neural network-based methods require a large number of uniform fault samples to train the model parameters, which makes them less practical. Finally, the attribute reliability calculation of BRB methods cannot consider unreliable data with large variations in attribute values in the middle section, which leads to inaccurate fault diagnosis. To address these drawbacks, in this paper, the BRB-AAW model is proposed as a fault diagnosis method.

Nevertheless, the BRB-AAW method has some limitations. Future research will focus on solving the combinational explosion problem in the BRB-AAW model by reducing the number of rules. A network structure with a BRB will also be designed to minimize the number of rules per submodule and help parameter initialization. In addition, the construction method of the BRB network structure will be explored and designed to enhance its model consistency with the underlying working mechanism.

Data availability

The datasets used during the current study are available from the corresponding author upon reasonable request.

Gui, W., Lu, Q., Su, M. & Pan, F. Wireless sensor network fault sensor recognition algorithm based on MM* diagnostic model. IEEE Access 8 , 127084–127093 (2020).

Article   Google Scholar  

Chu, S. C., Dao, T. K. & Pan, J. S. Identifying correctness data scheme for aggregating data in cluster heads of wireless sensor network based on naive Bayes classification. EURASIP J. Wirel. Commun. Netw. 2020 (1), 1–15 (2020).

Shahabinejad, A., Javidan, R. & Keshtgari, M. A new Markov-based survivability model for wireless sensor networks. Int. J. Mech. Electr. Comput. Technol. 9 (33), 4271–4286 (2019).

Google Scholar  

Shanmuganathan, V. & Suresh, A. LSTM-Markov based efficient anomaly detection algorithm for IoT environment. Appl. Soft Comput. 136 , 110054 (2023).

Kabir, S. et al. An integrated approach of belief rule base and deep learning to predict air pollution. Sensors 20 (7), 1956 (2020).

Article   ADS   PubMed   PubMed Central   CAS   Google Scholar  

Dehghani, M. H. et al. Process modeling of municipal solid waste compost ash for reactive red 198 dye adsorption from wastewater using data driven approaches. Sci. Rep. 11 (1), 1–20 (2021).

Saeed, U. et al. Fault diagnosis based on extremely randomized trees in wireless sensor networks. Reliab. Eng. Syst. Saf. 205 , 107284 (2021).

Akbas, A. et al. Neural network based instant parameter prediction for wireless sensor network optimization models. Wirel. Netw. 25 , 3405–3418 (2019).

Ullah, I. & Youn, H. Y. Efficient data aggregation with node clustering and extreme learning machine for WSN. J. Supercomput. 76 , 10009–10035 (2020).

Cai, W. et al. A hybrid information model based on long short-term memory network for tool condition monitoring. J. Intell. Manuf. 31 , 1497–1510 (2020).

Abdalzaher, M. S., Samy, L. & Muta, O. Non-zero-sum game-based trust model to enhance wireless sensor networks security for IoT applications. IET Wirel. Sens. Syst. 9 , 218–226 (2019).

Abdalzaher, M. S. & Muta, O. A game-theoretic approach for enhancing security and data trustworthiness in IoT applications. IEEE Internet Things J. 7 (11), 11250–11261 (2020).

Abdalzaher, M.S. et al . An effective Stackelberg game for high-assurance of data trustworthiness in WSNs. In 2017 IEEE Symposium on Computers and Communications ( ISCC ) 1257–1262 (2017).

Abdalzaher, M. S., Seddik, K. & Muta, O. & Abdelrahman, A. Using Stackelberg game to enhance node protection in WSNs. In 2016 13th IEEE Annual Consumer Communications & Networking Conference ( CCNC ), Las Vegas, NV, USA. 853–856 (2016).

.Selvakumar, K. & Sai Ramesh, L. Fuzzy expert system-based node trust estimation in wireless sensor networks. In Inventive Computation and Information Technologies: Proceedings of ICICIT 2020 . 435–444 (Springer Singapore, 2021).

Laiou, A. et al. Autonomous fault detection and diagnosis in wireless sensor networks using decision trees. J. Commun. 14 (7), 544–552 (2019).

Yang, J. B. et al. Belief rule-base inference methodology using the evidential reasoning approach-RIMER. IEEE Trans. Syst. Man Cybern.-Part A Syst. Hum. 36 (2), 266–285 (2006).

Zhang, B., Zhang, Y., Zhang, A. et al . Fault diagnosis method of WSN nodes based on wavelet packet and belief rule base. In 2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes ( SAFEPROCESS ). 884–889 (IEEE, 2019).

Cheng, C. et al. A BRB-based effective fault diagnosis model for high-speed trains running gear systems. IEEE Trans. Intell. Transport. Syst. 23 (1), 110–121 (2020).

Chang, L. et al. A data-driven method using BRB with data reliability and expert knowledge for complex systems modeling. IEEE Trans. Syst. Man Cybern. Syst. 52 (11), 6729–6743 (2021).

Sun, G.-W. et al . A WSN node fault diagnosis model based on BRB with self-adaptive quality factor. Comput. Mater. Contin . (2023).

Joanes, D. N. & Gill, C. A. Comparing measures of sample skewness and kurtosis. J. R. Stat. Soc. Ser. D (The Statistician) 47 (1), 183–189 (1998).

Yuan, K. H., Bentler, P. M. & Zhang, W. The effect of skewness and kurtosis on mean and covariance structure analysis: The univariate case and its multivariate implication. Soc. Methods Res. 34 (2), 240–258 (2005).

Article   MathSciNet   Google Scholar  

Feng, Z. et al. A new belief rule base model with attribute reliability. IEEE Trans. Fuzzy Syst. 27 (5), 903–916 (2018).

Yang, J. B. & Xu, D. L. Evidential reasoning rule for evidence combination. Artif. Intell. 205 , 1–29 (2013).

Qu, L., Zheng, R. & Shi, Y. BSO-CMA-ES: Brain storm optimization based covariance matrix adaptation evolution strategy for multimodal optimization. In Data Mining and Big Data: 6th International Conference, DMBD 2021, Guangzhou, China , October 20–22, 2021, Proceedings, Part II 6 . 167–174 (Springer Singapore, 2021).

Hu, G. Y. et al. Hidden behavior prediction of complex system based on time-delay belief rule base forecasting model. Knowl.-Based Syst. 203 , 106147 (2020).

Ho, Y. C. On the perturbation analysis of discrete-event dynamic systems. J. Optim. Theory Appl. 46 (4), 535–545 (1985).

Ali, O. et al. On-line wsn soc estimation using gaussian process regression: An adaptive machine learning approach. Alex. Eng. J. 61 (12), 9831–9848 (2022).

Download references

Author information

Authors and affiliations.

Harbin Normal University, Harbin, 150025, China

Ke-Xin Shi, Shi-Ming Li, Guo-Wen Sun & Wei He

Rocket Force University of Engineering, Xi’an, 710025, China

Zhi-Chao Feng

You can also search for this author in PubMed   Google Scholar

Contributions

K.-X.S. and G.-W.S. wrote the main manuscript text, and K.-X.S. prepared Figs. 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 and 11 . Z.-C.F., W.H., and S.-M.L. reviewed the manuscript and made corrections.

Corresponding author

Correspondence to Shi-Ming Li .

Ethics declarations

Competing interests.

The authors declare no competing interests.

Additional information

Publisher's note.

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ .

Reprints and permissions

About this article

Cite this article.

Shi, KX., Li, SM., Sun, GW. et al. A fault diagnosis method for wireless sensor network nodes based on a belief rule base with adaptive attribute weights. Sci Rep 14 , 4038 (2024). https://doi.org/10.1038/s41598-024-54589-6

Download citation

Received : 01 July 2023

Accepted : 14 February 2024

Published : 19 February 2024

DOI : https://doi.org/10.1038/s41598-024-54589-6

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

  • Wireless sensor network
  • Fault diagnosis
  • Belief rule base
  • Adaptive attribute weights

By submitting a comment you agree to abide by our Terms and Community Guidelines . If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Quick links

  • Explore articles by subject
  • Guide to authors
  • Editorial policies

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

case study method work

IMAGES

  1. How To Do Case Study Analysis?

    case study method work

  2. why use case study approach

    case study method work

  3. The work on case-study method

    case study method work

  4. 31+ Case Study Samples

    case study method work

  5. methodology case study approach

    case study method work

  6. Case Study Method: What are the Advantages and Disadvantages?

    case study method work

VIDEO

  1. Case Studies

  2. CASE STUDY COM165 VIDEO PRESENTATION

  3. Day-1 Case Study Method for better Teaching

  4. case study Method And Interdisciplinary Research / Reasearch Methodology

  5. Case study method#notes #study #psychology

  6. Case study method in practice

COMMENTS

  1. What Is a Case Study?

    A case study is a detailed study of a specific subject, such as a person, group, place, event, organization, or phenomenon. Case studies are commonly used in social, educational, clinical, and business research. A case study research design usually involves qualitative methods, but quantitative methods are sometimes also used.

  2. Case Study Methodology of Qualitative Research: Key Attributes and

    A case study is one of the most commonly used methodologies of social research. This article attempts to look into the various dimensions of a case study research strategy, the different epistemological strands which determine the particular case study type and approach adopted in the field, discusses the factors which can enhance the effectiveness of a case study research, and the debate ...

  3. Case Study

    A case study is a research method that involves an in-depth examination and analysis of a particular phenomenon or case, such as an individual, organization, community, event, or situation. ... the Hawthorne Studies were a series of case studies conducted by Elton Mayo and his colleagues to examine the impact of work environment on employee ...

  4. Case Study Method: A Step-by-Step Guide for Business Researchers

    The case study method involves a range of empirical material collection tools in order to answer the research questions with maximum breadth. Semistructured interviews can be conducted along with meeting observations and documents collection. ... The first phase is the foundation phase of the case in which the researcher needs to work on the ...

  5. What the Case Study Method Really Teaches

    It's been 100 years since Harvard Business School began using the case study method. Beyond teaching specific subject matter, the case study method excels in instilling meta-skills in students.

  6. Writing a Case Study

    A case study is a research method that involves an in-depth analysis of a real-life phenomenon or situation. Learn how to write a case study for your social sciences research assignments with this helpful guide from USC Library. Find out how to define the case, select the data sources, analyze the evidence, and report the results.

  7. Case Study

    In a mixed-method study, case study provides insightful understanding to substantiate the quantitative results (Tellis, 1997). "While comparing the case study method with other research methods used in social science research, the strength of the case study method lays in its ability to examine the research question in-depth" (Yin, 2004).

  8. How to Write a Case Study

    Step 1: Select a case to analyze. After you have developed your statement of the problem and research question, the first step in writing a case study is to select a case that is representative of the phenomenon being investigated or that provides an outlier. For example, if a researcher wants to explore the impact of COVID-19 on the ...

  9. Case Study

    A case study is a detailed study of a specific subject, such as a person, group, place, event, organisation, or phenomenon. Case studies are commonly used in social, educational, clinical, and business research. A case study research design usually involves qualitative methods, but quantitative methods are sometimes also used.

  10. Methodology or method? A critical review of qualitative case study

    Definitions of qualitative case study research. Case study research is an investigation and analysis of a single or collective case, intended to capture the complexity of the object of study (Stake, 1995).Qualitative case study research, as described by Stake (), draws together "naturalistic, holistic, ethnographic, phenomenological, and biographic research methods" in a bricoleur design ...

  11. Case Study: Definition, Examples, Types, and How to Write

    A case study is an in-depth study of one person, group, or event. In a case study, nearly every aspect of the subject's life and history is analyzed to seek patterns and causes of behavior. Case studies can be used in many different fields, including psychology, medicine, education, anthropology, political science, and social work.

  12. The case study approach

    A case study is a research approach that is used to generate an in-depth, multi-faceted understanding of a complex issue in its real-life context. It is an established research design that is used extensively in a wide variety of disciplines, particularly in the social sciences. A case study can be defined in a variety of ways (Table 5 ), the ...

  13. Toward Developing a Framework for Conducting Case Study Research

    In most cases, a case study method selects a small geographical area or a very limited number of individuals as the subjects of study. Case studies, in their true essence, explore and investigate contemporary real-life phenomenon through detailed contextual analysis of a limited number of events or conditions and their relationships (Zainal, 2007).

  14. What is the Case Study Method?

    Overview. Simply put, the case method is a discussion of real-life situations that business executives have faced. On average, you'll attend three to four different classes a day, for a total of about six hours of class time (schedules vary). To prepare, you'll work through problems with your peers. Read More.

  15. Case Studies

    A Case for Case Studies in Social Work Research. Social Work, 39, 4, 371-381. This article defines case study research, presents guidelines for evaluation of case studies, and shows the relevance of case studies to social work research. It also looks at issues such as evaluation and interpretations of case studies. ... Case Study Methods ...

  16. A Case for the Case Study: How and Why They Matter

    Some argue for a robust combination of methods, using the case study in combination with quantitative methods (Luyten et al. 2006; Marchal et al. 2013).For others, like the critical realist sociologist George Steinmetz (), the case is to be used not just as a means of richly describing human experience; for Steinmetz, the case study is crucial to the production of meaningful and new knowledge.

  17. Case Study Research: Methods and Designs

    The case study method can be divided into three stages: formulation of objectives; collection of data; and analysis and interpretation. The researcher first makes a judgment about what should be studied based on their knowledge. Next, they gather data through observations and interviews. Here are some of the common case study research methods: 1.

  18. 5 Benefits of the Case Study Method

    5 Benefits of Learning Through Case Studies. 1. Take New Perspectives. The case method prompts you to consider a scenario from another person's perspective. To work through the situation and come up with a solution, you must consider their circumstances, limitations, risk tolerance, stakeholders, resources, and potential consequences to ...

  19. Writing a Case Analysis Paper

    Case study is a method of in-depth research and rigorous inquiry; case analysis is a reliable method of teaching and learning. A case study is a modality of research that investigates a phenomenon for the purpose of creating new knowledge, solving a problem, or testing a hypothesis using empirical evidence derived from the case being studied.

  20. Case Method Teaching and Learning

    Case method 1 teaching is an active form of instruction that focuses on a case and involves students learning by doing 2 3. Cases are real or invented stories 4 that include "an educational message" or recount events, problems, dilemmas, theoretical or conceptual issue that requires analysis and/or decision-making.

  21. Case Study Method

    1 Introduction. The case study method is a learning technique in which the student is faced a particular problem, the case. The case study facilitates the exploration of a real issue within a defined context, using a variety of data sources (Baxter et al., 2008 ). In general terms, the case study analyzes a defined problem consisting in a real ...

  22. Case Study Method

    A case study is a research method used to investigate an individual, a group of people, or a particular phenomenon. The case study has been used in many disciplines especially in social science, anthropology, sociology, psychology, and political science. A case study allows the researcher to gain an in-depth understanding of the topic.

  23. Case Study Teaching Method Improves Student Performance and Perceptions

    INTRODUCTION. The case study teaching method is a highly adaptable style of teaching that involves problem-based learning and promotes the development of analytical skills ().By presenting content in the format of a narrative accompanied by questions and activities that promote group discussion and solving of complex problems, case studies facilitate development of the higher levels of Bloom ...

  24. Driving change: a case study of a DNP leader in residence program in a

    Accessed July 4, 2023.Taylor, M, McNicolas, C, Nicolay, C, Darzi, A, Bell, D, Reed, J. Systemic review of the application of the plan-do-study-act method to improve quality in healthcare. BMJ Quality & Safety. 2014:23:290-298. doi: 10.1136/bmjqs-2013-002703 Return to College of Nursing Winter 23/24 Newsletter

  25. A fault diagnosis method for wireless sensor network nodes ...

    Finally, a comprehensive case study is designed to verify the accuracy and effectiveness of the proposed method. The results of the case study indicate that compared with the traditional BRB ...

  26. Fuzzy Logic Method for Measuring Sustainable Decent Work Levels ...

    The purpose of this study was to propose an interactive computer system that utilises the MATLAB Fuzzy Logic Designer to measure the level of implementation of SDG 8, which focuses on sustainable decent work (SDW) and economic growth. This study used policies and laws as parameters to determine the presence or absence of SDW. The fuzzy method was implemented in car windshield manufacturing in ...