Case Study Research: What It Is and How to Use It in Your Dissertation 2026
Case study research is one of the most commonly chosen and most frequently misunderstood research approaches in social science dissertations. When students describe their methodology as “a case study”, they sometimes mean very different things — a detailed analysis of a single organisation, an in-depth examination of a historical event, a comparison of multiple sites, or simply a focused qualitative study. Understanding what case study research actually is — and whether it is the right approach for your research question — is essential before you commit to it in your methodology chapter.
This guide explains the principles, types, and practical requirements of case study research methodology for students in 2026, with concrete guidance on designing your study and writing up your approach.
What Is Case Study Research?
Robert Yin, whose work remains the dominant framework for case study methodology, defines a case study as “an empirical inquiry that investigates a contemporary phenomenon within its real-life context, especially when the boundaries between phenomenon and context are not clearly evident.” Three elements of this definition are critical:
- Contemporary: The phenomenon is happening now or recently, not historical (though historical case studies exist)
- Real-life context: You are studying the phenomenon as it occurs in the real world, not in a controlled experimental setting
- Boundaries between phenomenon and context: Part of the value of case study research is precisely that you preserve the messiness of how context shapes the phenomenon
A case study is defined by its unit of analysis — the “case” — which might be an organisation, a policy, an individual, a community, an event, or a decision. The boundaries of the case must be clearly defined in your methodology.
When to Use a Case Study Approach
Case studies are most appropriate when:
- Your research question asks “how” or “why” about a contemporary phenomenon
- You cannot control or manipulate the variables you are studying
- You need to understand context — the phenomenon cannot be meaningfully separated from its setting
- You have access to multiple sources of evidence about a single, bounded phenomenon
Case studies are less appropriate when:
- You need to generalise findings to a large population statistically (use survey research instead)
- Your research question asks “how many” or “how much” (quantitative methods are more appropriate)
- You are testing a pre-specified hypothesis (experimental or quasi-experimental designs are more suitable)
Types of Case Study Design
| Design | Description | Best For |
|---|---|---|
| Single case — holistic | One case examined as a whole | Unique, revelatory, or critical cases |
| Single case — embedded | One case with multiple sub-units of analysis | Complex organisations with multiple departments |
| Multiple case — holistic | Two or more cases each examined as a whole | Comparative studies; building toward theory |
| Multiple case — embedded | Two or more cases each with multiple sub-units | Complex comparative research |
For most master’s dissertations, a single holistic case study is the most achievable approach. Multiple case studies provide more robust findings but require significantly more time and access.
Data Collection in Case Studies
One of the defining strengths of case study research is the use of multiple data sources (triangulation) to build a comprehensive picture of the case. Common data sources include:
- Interviews: Semi-structured interviews with key stakeholders (see our interview research methodology guide)
- Documents: Organisational reports, policies, minutes, emails — providing historical context and official perspectives
- Observations: Direct observation of activities, meetings, or processes within the case setting
- Archival records: Statistics, databases, and official records relevant to the case
- Physical artefacts: Products, tools, or technologies relevant to the phenomenon being studied
The “case study chain of evidence” — a concept from Yin’s framework — requires you to trace the path from your initial research question through the data collection to your conclusions, so that any reader can follow how you reached your findings.
Analysing Case Study Data
Case study analysis typically involves pattern matching (comparing empirical findings with a theoretical framework), explanation building (iteratively developing an explanation for the phenomenon), or cross-case synthesis (if multiple cases are being compared). The most common technique for students is thematic analysis applied within the case study frame.
Write your case description first — a detailed narrative of the case based on all your data sources. From this narrative, identify themes, patterns, and contradictions that address your research question. Your analysis should show how you moved from raw data to your conclusions.
Strengths and Limitations
| Strengths | Limitations |
|---|---|
| Rich, contextualised data | Limited statistical generalisability |
| Captures complexity | Time-intensive to conduct thoroughly |
| Appropriate for unique cases | Researcher bias in case selection |
| Theory-building potential | Access to case may be difficult to obtain |
You must address limitations explicitly in your methodology chapter. Case study research generates analytical generalisability (your findings can be applied to theoretical propositions) rather than statistical generalisability — and your examiner will expect you to understand and articulate this distinction.
Writing Up Your Case Study Methodology
A well-written case study methodology chapter must:
- Define the case and justify its selection (why this case?)
- Position the approach within a theoretical framework (cite Yin, Stake, or other key methodologists)
- Explain your research design (single/multiple, holistic/embedded)
- Describe your data collection methods and justify their selection
- Explain how you analysed the data
- Address ethical considerations
- Acknowledge limitations and explain how you have mitigated them
Use Tesify to check the clarity and academic precision of your methodology chapter. Common problems in case study write-ups include insufficient justification for case selection, conflation of data collection with analysis, and inadequate engagement with the generalisability question.
Frequently Asked Questions
Is case study research qualitative or quantitative?
Case study research is primarily qualitative but can incorporate quantitative elements (mixed methods). The case study is a research design or strategy, not a method — it can use qualitative methods (interviews, observations, document analysis), quantitative methods (surveys, statistical analysis of records), or both. The defining characteristic is the in-depth investigation of a bounded phenomenon in context, not the type of data collected.
Can I generalise from a case study?
Not statistically — a case study does not produce findings that can be applied to a wider population in the way a survey can. However, case study research generates “analytical generalisation”: your findings can be applied to theoretical propositions and can inform understanding of similar contexts. Yin distinguishes this from statistical generalisation and argues that the goal of case study research is to expand and test theory, not to enumerate frequencies.
How do I justify choosing a case study for my dissertation?
Justify your case study choice by: (1) showing your research question is a “how” or “why” question about a contemporary phenomenon; (2) explaining why you cannot or should not control or manipulate the variables (which rules out experimental designs); (3) demonstrating that the context is integral to the phenomenon (which rules out surveys); (4) justifying why this specific case is appropriate — is it typical, extreme, revelatory, or theoretically relevant? Cite Yin or Stake to ground your justification in established methodology literature.
What is the difference between a case study and ethnography?
Ethnography involves prolonged immersion in a social setting, with observation as the primary method, aiming to understand a culture or social group from within. A case study is a more flexible design that investigates a bounded phenomenon using multiple data sources, without requiring prolonged immersion. Ethnography typically takes months to years; a dissertation case study can be conducted in a few weeks. Ethnography is primarily associated with anthropology; case study methodology is common across social science disciplines.
How many cases do I need for a multiple case study?
Yin recommends two to four cases for a multiple case study — enough to allow comparison and cross-case synthesis without becoming unmanageable. For a master’s dissertation, two or three cases is typically the practical limit given time and access constraints. Each case should be selected based on theoretical logic (replication logic) — either to predict similar results (literal replication) or to predict contrasting results for stated reasons (theoretical replication).
Write Your Case Study Chapter with Tesify
Case study methodology chapters require precise academic language and clear justification of every design decision. Tesify’s AI academic writing assistant helps you write methodology chapters that meet examiners’ expectations — clear, rigorous, and grounded in the right theoretical framework.
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