Case Study Research Methodology (A Beginner's Guide) 🏢🔍

Overview: What Case Study Research Is

Case study research examines a current, observable phenomenon in a specific context, such as an organization, country, or individual. The context is integral to understanding the phenomenon.

Unlike an experiment, the researcher does not control events. Instead, they collect data in the field or obtain information from sources about the case. A case study may use qualitative methods, quantitative methods, or both. For example, a researcher might analyze interviews or survey responses.

A case study typically focuses on one case. Comparative or multiple-case studies are related approaches that examine and contrast several cases. Research questions often begin with “how” and sometimes with “why.”

Case studies are common in the social sciences, including economics, psychology, and political science, though they may also be used in interdisciplinary research. They range from “soft,” interpretive and descriptive studies to “harder” studies based on distinctive data and empirical analysis.

Researchers should consider the method’s limits: case studies do not support statistical generalization in the same way as some other designs, though other forms of generalization may be possible. Readers may judge whether findings can reasonably transfer to a sufficiently similar case. Case studies can also help researchers develop new theory.

Six Steps for Conducting a Case Study

1. Plan the Study

• Decide whether a case study is appropriate for the research problem.
• Consider why it is preferable to alternatives such as a literature review, survey, or experiment.
• Assess whether it is feasible given available resources and access to data.
• Formulate a relevant research question, often starting with “how.”
• Choose between a question focused on a particular case and a more general question that could be explored through a case.
• Discuss the choice of method and research question with a supervisor.

2. Set Up the Research Design

• Determine which method or combination of methods can answer the research question.
• Identify what data will be needed.
• Work backward from the question to the evidence. For instance, a study of a company’s response to online criticism might analyze relevant social media posts using qualitative content analysis.
• Consider alternative ways of obtaining evidence, such as interviewing company employees.
• Choose an approach that is both methodologically suitable and practical given data-access constraints.
• Remember that case study is a methodology, not a single data-collection method; researchers can use different methods within it.

3. Prepare for Data Collection

• Review the literature before beginning empirical research so the study reflects existing knowledge.
• If appropriate, select a theory that can help explain the phenomenon in the case’s context, then relate findings to that theory.
• Identify potential data sources, such as interviewees, social media platforms, company records, or archives.
• Contact relevant people and organizations to obtain access to data.
• Keep a spreadsheet of data sources and contact attempts, and maintain a progress diary. Follow up when necessary to manage access and keep the project on schedule.

4. Collect the Data

• Gather data according to the chosen research design.
• Apply the relevant method—for example, conduct interviews using an appropriate interview approach.
• Adapt the collection process to the design and available sources.

5. Analyze the Data

This is often the most demanding stage, particularly in more empirically detailed studies. Ask:

• How can the data be described?
• Do they have distinctive characteristics?
• What patterns can be identified?

Organize results digitally, make backups, and use suitable software where it can support the analysis.

6. Interpret and Present the Results

Select the findings that matter and present them from more general to more specific. Use clear visual and written presentation, such as:

• Figures, including flowcharts, bar charts, or pie charts
• Tables showing values or analysis results
• Results of statistical calculations, such as frequencies or correlations
• Tables presenting concepts developed through the study
• Explanatory text highlighting noteworthy findings

Discuss the results in relation to the specific case, broader implications, prior research, and any theory used. Avoid claiming statistical generalizability. Instead, explain the findings and, where appropriate, allow readers to assess whether they may apply to a sufficiently similar case.

Speakers and Sources Featured

• Speaker: The video’s narrator and presenter, speaking on behalf of the shribe! channel.
• Research source cited: Robert K. Yin, whose work on case study methodology is described as the main basis for the tutorial. The narrator refers to the 2014 version of Case Study Research: Design and Methods and recommends citing an established methodological source in an academic methods chapter.