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Case Study – Methods, Examples and Guide

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A case study is an in-depth examination of a single case or a few selected cases within a real-world context. Case study research is widely used across disciplines such as psychology, sociology, business, and education to explore complex phenomena in detail. Unlike other research methods that aim for broad generalizations, case studies offer an intensive understanding of a specific individual, group, event, or situation.

A case study is a research method that involves a detailed examination of a subject (the “case”) within its real-life context. Case studies are used to explore the causes of underlying principles, behaviors, or outcomes, providing insights into the nuances of the studied phenomena. This approach allows researchers to capture a wide array of factors and interactions that may not be visible in other methods, such as experiments or surveys.

Key Characteristics of Case Studies :

• Focus on a specific case, individual, or event.
• Provide in-depth analysis and contextual understanding.
• Useful for exploring new or complex phenomena.
• Generate rich qualitative data that contributes to theory building.

Types of Case Studies

Case studies can be classified into different types depending on their purpose and methodology. Common types include exploratory , descriptive , explanatory , intrinsic , and instrumental case studies.

1. Exploratory Case Study

Definition : An exploratory case study investigates an area where little is known. It helps to identify questions, variables, and hypotheses for future research.

Characteristics :

• Often used in the early stages of research.
• Focuses on discovery and hypothesis generation.
• Helps clarify research questions.

Example : Examining how remote work affects team dynamics in an organization that has recently transitioned to a work-from-home model.

2. Descriptive Case Study

Definition : A descriptive case study provides a detailed account of a particular case, describing it within its context. The goal is to provide a complete and accurate depiction without necessarily exploring underlying causes.

• Focuses on describing the case in detail.
• Provides comprehensive data to paint a clear picture of the phenomenon.
• Helps understand “what” happened without delving into “why.”

Example : Documenting the process and outcomes of a corporate restructuring within a company, describing the actions taken and their immediate effects.

3. Explanatory Case Study

Definition : An explanatory case study aims to explain the cause-and-effect relationships of a particular case. It focuses on understanding “how” or “why” something happened.

• Useful for causal analysis.
• Aims to provide insights into mechanisms and processes.
• Often used in social sciences and psychology to study behavior and interactions.

Example : Investigating why a school’s test scores improved significantly after implementing a new teaching method.

4. Intrinsic Case Study

Definition : An intrinsic case study focuses on a unique or interesting case, not because of what it represents but because of its intrinsic value. The researcher’s interest lies in understanding the case itself.

• Driven by the researcher’s interest in the particular case.
• Not meant to generalize findings to broader contexts.
• Focuses on gaining a deep understanding of the specific case.

Example : Studying a particularly successful start-up to understand its founder’s unique leadership style.

5. Instrumental Case Study

Definition : An instrumental case study examines a particular case to gain insights into a broader issue. The case serves as a tool for understanding something more general.

• The case itself is not the focus; rather, it is a vehicle for exploring broader principles or theories.
• Helps apply findings to similar situations or cases.
• Useful for theory testing or development.

Example : Studying a well-known patient’s therapy process to understand the general principles of effective psychological treatment.

Methods of Conducting a Case Study

Case studies can involve various research methods to collect data and analyze the case comprehensively. The primary methods include interviews , observations , document analysis , and surveys .

1. Interviews

Definition : Interviews allow researchers to gather in-depth information from individuals involved in the case. These interviews can be structured, semi-structured, or unstructured, depending on the study’s goals.

• Develop a list of open-ended questions aligned with the study’s objectives.
• Conduct interviews with individuals directly or indirectly involved in the case.
• Record, transcribe, and analyze the responses to identify key themes.

Example : Interviewing employees, managers, and clients in a company to understand the effects of a new business strategy.

2. Observations

Definition : Observations involve watching and recording behaviors, actions, and events within the case’s natural setting. This method provides first-hand data on interactions, routines, and environmental factors.

• Define the behaviors and interactions to observe.
• Conduct observations systematically, noting relevant details.
• Analyze patterns and connections in the observed data.

Example : Observing interactions between teachers and students in a classroom to evaluate the effectiveness of a teaching method.

3. Document Analysis

Definition : Document analysis involves reviewing existing documents related to the case, such as reports, emails, memos, policies, or archival records. This provides historical and contextual data that can complement other data sources.

• Identify relevant documents that offer insights into the case.
• Systematically review and code the documents for themes or categories.
• Compare document findings with data from interviews and observations.

Example : Analyzing company policies, performance reports, and emails to study the process of implementing a new organizational structure.

Definition : Surveys are structured questionnaires administered to a group of people involved in the case. Surveys are especially useful for gathering quantitative data that supports or complements qualitative findings.

• Design survey questions that align with the research goals.
• Distribute the survey to a sample of participants.
• Analyze the survey responses, often using statistical methods.

Example : Conducting a survey among customers to measure satisfaction levels after a service redesign.

Case Study Guide: Step-by-Step Process

Step 1: define the research questions.

• Clearly outline what you aim to understand or explain.
• Define specific questions that the case study will answer, such as “What factors led to X outcome?”

Step 2: Select the Case(s)

• Choose a case (or cases) that are relevant to your research question.
• Ensure that the case is feasible to study, accessible, and likely to yield meaningful data.

Step 3: Determine the Data Collection Methods

• Decide which methods (e.g., interviews, observations, document analysis) will best capture the information needed.
• Consider combining multiple methods to gather rich, well-rounded data.

Step 4: Collect Data

• Gather data using your chosen methods, following ethical guidelines such as informed consent and confidentiality.
• Take comprehensive notes and record interviews or observations when possible.

Step 5: Analyze the Data

• Organize the data into themes, patterns, or categories.
• Use qualitative or quantitative analysis methods, depending on the nature of the data.
• Compare findings across data sources to identify consistencies and discrepancies.

Step 6: Interpret Findings

• Draw conclusions based on the analysis, relating the findings to your research questions.
• Consider alternative explanations and assess the generalizability of your findings.

Step 7: Report Results

• Write a detailed report that presents your findings and explains their implications.
• Discuss the limitations of the case study and potential directions for future research.

Examples of Case Study Applications

• Objective : To understand the success factors of a high-growth tech company.
• Methods : Interviews with key executives, analysis of internal reports, and customer satisfaction surveys.
• Outcome : Insights into unique management practices and customer engagement strategies.
• Objective : To examine the impact of project-based learning on student engagement.
• Methods : Observations in classrooms, interviews with teachers, and analysis of student performance data.
• Outcome : Evidence of increased engagement and enhanced critical thinking skills among students.
• Objective : To explore the effectiveness of a new mental health intervention.
• Methods : Interviews with patients, assessment of clinical outcomes, and reviews of therapist notes.
• Outcome : Identification of factors that contribute to successful treatment outcomes.
• Objective : To assess the impact of urban development on local wildlife.
• Methods : Observations of wildlife, analysis of environmental data, and interviews with residents.
• Outcome : Findings showing the effects of urban sprawl on species distribution and biodiversity.

Case studies are valuable for in-depth exploration and understanding of complex phenomena within their real-life contexts. By using methods such as interviews, observations, document analysis, and surveys, researchers can obtain comprehensive data and generate insights that are specific to the case. Whether exploratory, descriptive, or explanatory, case studies offer unique opportunities for understanding and discovering practical applications for theories.

• Baxter, P., & Jack, S. (2008). Qualitative Case Study Methodology: Study Design and Implementation for Novice Researchers . The Qualitative Report, 13(4), 544–559.
• Creswell, J. W., & Poth, C. N. (2017). Qualitative Inquiry and Research Design: Choosing Among Five Approaches (4th ed.). SAGE Publications.
• Stake, R. E. (1995). The Art of Case Study Research . SAGE Publications.
• Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). SAGE Publications.
• Thomas, G. (2016). How to Do Your Case Study (2nd ed.). SAGE Publications.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Descriptive Research and Case Studies

Learning objectives.

• Explain the importance and uses of descriptive research, especially case studies, in studying abnormal behavior

Types of Research Methods

There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it. Some methods rely on observational techniques. Other approaches involve interactions between the researcher and the individuals who are being studied—ranging from a series of simple questions; to extensive, in-depth interviews; to well-controlled experiments.

The three main categories of psychological research are descriptive, correlational, and experimental research. Research studies that do not test specific relationships between variables are called descriptive, or qualitative, studies . These studies are used to describe general or specific behaviors and attributes that are observed and measured. In the early stages of research, it might be difficult to form a hypothesis, especially when there is not any existing literature in the area. In these situations designing an experiment would be premature, as the question of interest is not yet clearly defined as a hypothesis. Often a researcher will begin with a non-experimental approach, such as a descriptive study, to gather more information about the topic before designing an experiment or correlational study to address a specific hypothesis. Descriptive research is distinct from correlational research , in which psychologists formally test whether a relationship exists between two or more variables. Experimental research goes a step further beyond descriptive and correlational research and randomly assigns people to different conditions, using hypothesis testing to make inferences about how these conditions affect behavior. It aims to determine if one variable directly impacts and causes another. Correlational and experimental research both typically use hypothesis testing, whereas descriptive research does not.

Each of these research methods has unique strengths and weaknesses, and each method may only be appropriate for certain types of research questions. For example, studies that rely primarily on observation produce incredible amounts of information, but the ability to apply this information to the larger population is somewhat limited because of small sample sizes. Survey research, on the other hand, allows researchers to easily collect data from relatively large samples. While surveys allow results to be generalized to the larger population more easily, the information that can be collected on any given survey is somewhat limited and subject to problems associated with any type of self-reported data. Some researchers conduct archival research by using existing records. While existing records can be a fairly inexpensive way to collect data that can provide insight into a number of research questions, researchers using this approach have no control on how or what kind of data was collected.

Correlational research can find a relationship between two variables, but the only way a researcher can claim that the relationship between the variables is cause and effect is to perform an experiment. In experimental research, which will be discussed later, there is a tremendous amount of control over variables of interest. While performing an experiment is a powerful approach, experiments are often conducted in very artificial settings, which calls into question the validity of experimental findings with regard to how they would apply in real-world settings. In addition, many of the questions that psychologists would like to answer cannot be pursued through experimental research because of ethical concerns.

The three main types of descriptive studies are case studies, naturalistic observation, and surveys.

Clinical or Case Studies

Psychologists can use a detailed description of one person or a small group based on careful observation.  Case studies  are intensive studies of individuals and have commonly been seen as a fruitful way to come up with hypotheses and generate theories. Case studies add descriptive richness. Case studies are also useful for formulating concepts, which are an important aspect of theory construction. Through fine-grained knowledge and description, case studies can fully specify the causal mechanisms in a way that may be harder in a large study.

Sigmund Freud   developed  many theories from case studies (Anna O., Little Hans, Wolf Man, Dora, etc.). F or example, he conducted a case study of a man, nicknamed “Rat Man,”  in which he claimed that this patient had been cured by psychoanalysis.  T he nickname derives from the fact that among the patient’s many compulsions, he had an obsession with nightmarish fantasies about rats. 

Today, more commonly, case studies reflect an up-close, in-depth, and detailed examination of an individual’s course of treatment. Case studies typically include a complete history of the subject’s background and response to treatment. From the particular client’s experience in therapy, the therapist’s goal is to provide information that may help other therapists who treat similar clients.

Case studies are generally a single-case design, but can also be a multiple-case design, where replication instead of sampling is the criterion for inclusion. Like other research methodologies within psychology, the case study must produce valid and reliable results in order to be useful for the development of future research. Distinct advantages and disadvantages are associated with the case study in psychology.

A commonly described limit of case studies is that they do not lend themselves to generalizability . The other issue is that the case study is subject to the bias of the researcher in terms of how the case is written, and that cases are chosen because they are consistent with the researcher’s preconceived notions, resulting in biased research. Another common problem in case study research is that of reconciling conflicting interpretations of the same case history.

Despite these limitations, there are advantages to using case studies. One major advantage of the case study in psychology is the potential for the development of novel hypotheses of the  cause of abnormal behavior   for later testing. Second, the case study can provide detailed descriptions of specific and rare cases and help us study unusual conditions that occur too infrequently to study with large sample sizes. The major disadvantage is that case studies cannot be used to determine causation, as is the case in experimental research, where the factors or variables hypothesized to play a causal role are manipulated or controlled by the researcher. 

Link to Learning: Famous Case Studies

Some well-known case studies that related to abnormal psychology include the following:

• Harlow— Phineas Gage
• Breuer & Freud (1895)— Anna O.
• Cleckley’s case studies: on psychopathy ( The Mask of Sanity ) (1941) and multiple personality disorder ( The Three Faces of Eve ) (1957)
• Freud and  Little Hans
• Freud and the  Rat Man
• John Money and the  John/Joan case
• Genie (feral child)
• Piaget’s studies
• Rosenthal’s book on the  murder of Kitty Genovese
• Washoe (sign language)
• Patient H.M.

Naturalistic Observation

If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances are that almost everyone in the classroom will raise their hand, but do you think hand washing after every trip to the restroom is really that universal?

This is very similar to the phenomenon mentioned earlier in this module: many individuals do not feel comfortable answering a question honestly. But if we are committed to finding out the facts about handwashing, we have other options available to us.

Suppose we send a researcher to a school playground to observe how aggressive or socially anxious children interact with peers. Will our observer blend into the playground environment by wearing a white lab coat, sitting with a clipboard, and staring at the swings? We want our researcher to be inconspicuous and unobtrusively positioned—perhaps pretending to be a school monitor while secretly recording the relevant information. This type of observational study is called naturalistic observation : observing behavior in its natural setting. To better understand peer exclusion, Suzanne Fanger collaborated with colleagues at the University of Texas to observe the behavior of preschool children on a playground. How did the observers remain inconspicuous over the duration of the study? They equipped a few of the children with wireless microphones (which the children quickly forgot about) and observed while taking notes from a distance. Also, the children in that particular preschool (a “laboratory preschool”) were accustomed to having observers on the playground (Fanger, Frankel, & Hazen, 2012).

It is critical that the observer be as unobtrusive and as inconspicuous as possible: when people know they are being watched, they are less likely to behave naturally. For example, psychologists have spent weeks observing the behavior of homeless people on the streets, in train stations, and bus terminals. They try to ensure that their naturalistic observations are unobtrusive, so as to minimize interference with the behavior they observe. Nevertheless, the presence of the observer may distort the behavior that is observed, and this must be taken into consideration (Figure 1).

The greatest benefit of naturalistic observation is the validity, or accuracy, of information collected unobtrusively in a natural setting. Having individuals behave as they normally would in a given situation means that we have a higher degree of ecological validity, or realism, than we might achieve with other research approaches. Therefore, our ability to generalize the findings of the research to real-world situations is enhanced. If done correctly, we need not worry about people modifying their behavior simply because they are being observed. Sometimes, people may assume that reality programs give us a glimpse into authentic human behavior. However, the principle of inconspicuous observation is violated as reality stars are followed by camera crews and are interviewed on camera for personal confessionals. Given that environment, we must doubt how natural and realistic their behaviors are.

The major downside of naturalistic observation is that they are often difficult to set up and control. Although something as simple as observation may seem like it would be a part of all research methods, participant observation is a distinct methodology that involves the researcher embedding themselves into a group in order to study its dynamics. For example, Festinger, Riecken, and Shacter (1956) were very interested in the psychology of a particular cult. However, this cult was very secretive and wouldn’t grant interviews to outside members. So, in order to study these people, Festinger and his colleagues pretended to be cult members, allowing them access to the behavior and psychology of the cult. Despite this example, it should be noted that the people being observed in a participant observation study usually know that the researcher is there to study them. [1]

Another potential problem in observational research is observer bias . Generally, people who act as observers are closely involved in the research project and may unconsciously skew their observations to fit their research goals or expectations. To protect against this type of bias, researchers should have clear criteria established for the types of behaviors recorded and how those behaviors should be classified. In addition, researchers often compare observations of the same event by multiple observers, in order to test inter-rater reliability : a measure of reliability that assesses the consistency of observations by different observers.

Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally (Figure 3). Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.

Surveys allow researchers to gather data from larger samples than may be afforded by other research methods . A sample is a subset of individuals selected from a population , which is the overall group of individuals that the researchers are interested in. Researchers study the sample and seek to generalize their findings to the population.

There is both strength and weakness in surveys when compared to case studies. By using surveys, we can collect information from a larger sample of people. A larger sample is better able to reflect the actual diversity of the population, thus allowing better generalizability. Therefore, if our sample is sufficiently large and diverse, we can assume that the data we collect from the survey can be generalized to the larger population with more certainty than the information collected through a case study. However, given the greater number of people involved, we are not able to collect the same depth of information on each person that would be collected in a case study.

Another potential weakness of surveys is something we touched on earlier in this module: people do not always give accurate responses. They may lie, misremember, or answer questions in a way that they think makes them look good. For example, people may report drinking less alcohol than is actually the case.

Any number of research questions can be answered through the use of surveys. One real-world example is the research conducted by Jenkins, Ruppel, Kizer, Yehl, and Griffin (2012) about the backlash against the U.S. Arab-American community following the terrorist attacks of September 11, 2001. Jenkins and colleagues wanted to determine to what extent these negative attitudes toward Arab-Americans still existed nearly a decade after the attacks occurred. In one study, 140 research participants filled out a survey with 10 questions, including questions asking directly about the participant’s overt prejudicial attitudes toward people of various ethnicities. The survey also asked indirect questions about how likely the participant would be to interact with a person of a given ethnicity in a variety of settings (such as, “How likely do you think it is that you would introduce yourself to a person of Arab-American descent?”). The results of the research suggested that participants were unwilling to report prejudicial attitudes toward any ethnic group. However, there were significant differences between their pattern of responses to questions about social interaction with Arab-Americans compared to other ethnic groups: they indicated less willingness for social interaction with Arab-Americans compared to the other ethnic groups. This suggested that the participants harbored subtle forms of prejudice against Arab-Americans, despite their assertions that this was not the case (Jenkins et al., 2012).

Think it Over

Research has shown that parental depressive symptoms are linked to a number of negative child outcomes. A classmate of yours is interested in  the associations between parental depressive symptoms and actual child behaviors in everyday life [2] because this associations remains largely unknown. After reading this section, what do you think is the best way to better understand such associations? Which method might result in the most valid data?

clinical or case study:  observational research study focusing on one or a few people

correlational research:  tests whether a relationship exists between two or more variables

descriptive research:  research studies that do not test specific relationships between variables; they are used to describe general or specific behaviors and attributes that are observed and measured

experimental research:  tests a hypothesis to determine cause-and-effect relationships

generalizability:  inferring that the results for a sample apply to the larger population

inter-rater reliability:  measure of agreement among observers on how they record and classify a particular event

naturalistic observation:  observation of behavior in its natural setting

observer bias:  when observations may be skewed to align with observer expectations

population:  overall group of individuals that the researchers are interested in

sample:  subset of individuals selected from the larger population

survey:  list of questions to be answered by research participants—given as paper-and-pencil questionnaires, administered electronically, or conducted verbally—allowing researchers to collect data from a large number of people

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