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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.

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Exploratory Research refers to the research methodology used when researchers have a limited understanding of the topic at hand and want to gain a broader perspective or more insights into the subject.

This type of research is conducted in the initial stages of a study when there is a lack of clarity about the problem. It may lead to subsequent studies that attempt to generate greater clarity on the findings generated in the initial, exploratory, phase, or to test hypotheses that the exploratory phase generated.

Definition of Exploratory Research

If you’re writing a research proposal, methodology, or essay in which you need to discuss exploratory research design , I recommend providing a scholarly definition of the topic.

Here are three solid scholarly definitions you could use:

• “… research used to investigate an issue that is new, a problem which is not clearly defined, a topic on which there is little data” (Gozdziak & Chantavanich, 2022)
• “… initial research conducted to clarify and define the nature of the problem. It is done to help diagnose the situation, allow for screening of alternatives, and discover new ideas.” (Hutchison, Allen & Macy, 2012)
• “… the initial research into a hypothetical or theoretical idea. This is where the researcher has an idea and wishes to research a topic seeking to understand it more deeply. An exploratory research study is an attempt to lay the groundwork that could of will lead to future studies.” (Blecher, 2018)

Objectives of Exploratory Research

Exploratory research is generally conducted in order to generate initial data on a relatively unknown topic (Hammond & Wellington, 2013).

We could divide this up into a range of more specific objectives that you could state for your research project, including:

• Descriptive Data : Exploratory research often aims to provide a better understanding of a relatively unknown problem, phenomenon, or behavior by generating descriptive data (Cargan, 2007). This helps in establishing a clearer understanding of a topic and, consequently, gives subsequent projects the chance to dig deeper now that they have some baseline data.
• Generation of New Ideas : Through exploratory research, new ideas and perspectives can emerge that were not initially considered (Swedberg, 2020). An exploratory study often begins with an open mind, ready to reveal surprising, remarkable, and unexpected new ideas and insights. For example, researchers may conclude the study with a hypothesis for future research to examine.
• Determining the Most Appropriate Research Method : After getting a clearer idea of the topic, researchers can determine which research methods (e.g., qualitative, quantitative) would be most suitable for a subsequent, more detailed, conclusive research study.
• Clarifying Concepts : In generating descriptive datasets, an exploratory study can help in defining and refining ambiguous or unclear concepts, which can help to start to build foundational definitions and conceptual frameworks for the emerging body of literature on a novel topic (Tan, 2022).
• Establishing Importance: An exploratory study could also serve the purpose of demonstrating that a topic is worthy of larger-scale studies. So, researchers might conduct their exploratory study, and use its results to approach funding bodies. With the exploratory study complete, they will be armed with more data about the topic and informed evidence about the best way to approach it.
• Establishing Priorities for Future Research : By identifying key issues and questions, researchers can prioritize areas that need deeper investigation. Conclusions of exploratory studies usually provide recommendations for future studies, including by proposing hypotheses and prioritizing future projects.

Common Methods for Exploratory Research Designs

There is no one clear set of methods that must be used in exploratory design. A researcher should select the methodologies that would be most effective in meeting your research questions.

However, commonly, exploratory studies are shaped as small-scale qualitative designs. Qualitative research allows researchers to delve deep into a topic to generate high-quality, contextualized, and nuanced descriptive data. Qualitative data generally cannot create generalizable results, but it does help to create hypotheses that can be looked at with larger-scale quantitative studies.

Examples of exploratory research designs can include:

• Expert Interviews : When exploring a relatively new phenomenon, researchers can speak to professionals or experts in the field to gain their perspectives. This perspective-taking, often taking the form of a delphi method focus group , can help researchers to better understand the key factors within a topic that will inform subsequent study designs (Raley et al., 2016).
• Case Studies : Oftentimes, exploratory research looks at novel and rare phenomena. To begin to understand them, researchers need to look at them in depth. To do this, they may employ a case study design, which allows researchers to take a very in-depth examination of one instance (Lee & Saunders, 2017). This will, in turn, inform future studies that may look at a wider corpus that can create statistically relevant results.
• Observational Studies : This involves observing and noting the behavior or situation of interest. There are multiple types of observational research , ranging from non-intrusive ‘fly on the wall’ observations to participant observations such as ethnographic studies .
• Cross-Sectional Research : This is an example of a qualitative exploratory research design. Imagine researchers want to study an emerging health condition among a population. As it’s emergent, there’s no data yet, but researchers need to know how big a problem this is. To do so, they may conduct an initial cross-sectional study , which gathers statistically relevant descriptive data about how prevalent the condition is. This exploratory study won’t be able to determine cause-and-effect between variables, but it could from the basis and justification for subsequent studies.

A Hypothetical Example

Study Title: The relationship between urban green spaces and mental well-being

Explanation: In an exploratory study examining the relationship between urban green spaces and mental well-being, researchers could survey residents from various neighborhoods about their frequency of visiting local parks and their perceived stress levels.

Design: Since, hypothetically, little prior research exists on this specific topic, the team could employ open-ended interviews, allowing participants to share detailed experiences and insights. Preliminary data might indicate a potential positive correlation between regular park visits and lower stress levels. To gain a deeper understanding, focus groups could be conducted next, where participants discuss the therapeutic effects of nature, setting the stage for more structured, quantitative studies in the future.

Recommendations: Exploratory research usually provides recommendations for more focused subsequent studies. The researchers in this study might recommend exploring the supposed positive correlation between park visits and lower stress through a statistical analysis.

See More Exploratory Research Examples

Benefits and Limitations of Exploratory Research Design

Exploratory research design is very useful for providing initial insights into a topic, describing phenomena in detail, and exploring a topic without the predetermined constraints of mere hypothesis testing.

But it’s not the best research design in all situations. For example, it might not be ideal if you were seeking to achieve clarity on well-worn topics, generate generalizable results that add to existing literature, or contribute to a specific set of existing scholarly discourse on a topic.

Below are some strengths and weaknesses of this research design:

Blecher, M. (2018). Israeli Settlements: Land Politics Beyond the Geneva Convention . Hamilton Books.

Cargan, L. (2007). Doing Social Research . Rowman & Littlefield Publishers.

Gozdziak, E. M., & Chantavanich, S. (2022). Africans in Thailand. In Gozdziak, E. M., & Chantavanich, S. (Eds.). African Migration to Thailand: Race, Mobility, and Integration. Taylor & Francis.

Hammond, M., & Wellington, J. J. (2013).  Research Methods: The Key Concepts . Routledge.

Hutchison, T., Allen, P., & Macy, A. (2012).  Record Label Marketing . Taylor & Francis.

Lee, B., & Saunders, M. N. K. (2017).  Conducting Case Study Research for Business and Management Students.  SAGE Publications.

Morrison, A. M. (2022).  Tourism Marketing: In the Age of the Consumer . Taylor & Francis.

Raley, M. E., Ragona, M., Sijtsema, S. J., Fischer, A. R., & Frewer, L. J. (2016). Barriers to using consumer science information in food technology innovations: An exploratory study using Delphi methodology.  International Journal of Food Studies ,  5 (1). ( Source )

Swedberg, R. (2020). Exploratory Research. In Elman C, Gerring J, & Mahoney J. (Eds.)  The Production of Knowledge: Enhancing Progress in Social Science.  Cambridge: Cambridge University Press.

Tan, W. C. K. (2022).  Research Methods: A Practical Guide For Students And Researchers  (Second Edition). World Scientific Publishing Company.

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Case Studies

Case studies are a popular research method in business area. Case studies aim to analyze specific issues within the boundaries of a specific environment, situation or organization.

According to its design, case studies in business research can be divided into three categories: explanatory, descriptive and exploratory.

Explanatory case studies aim to answer ‘how’ or ’why’ questions with little control on behalf of researcher over occurrence of events. This type of case studies focus on phenomena within the contexts of real-life situations. Example: “An investigation into the reasons of the global financial and economic crisis of 2008 – 2010.”

Descriptive case studies aim to analyze the sequence of interpersonal events after a certain amount of time has passed. Studies in business research belonging to this category usually describe culture or sub-culture, and they attempt to discover the key phenomena. Example: “Impact of increasing levels of multiculturalism on marketing practices: A case study of McDonald’s Indonesia.”

Exploratory case studies aim to find answers to the questions of ‘what’ or ‘who’. Exploratory case study data collection method is often accompanied by additional data collection method(s) such as interviews, questionnaires, experiments etc. Example: “A study into differences of leadership practices between private and public sector organizations in Atlanta, USA.”

Advantages of case study method include data collection and analysis within the context of phenomenon, integration of qualitative and quantitative data in data analysis, and the ability to capture complexities of real-life situations so that the phenomenon can be studied in greater levels of depth. Case studies do have certain disadvantages that may include lack of rigor, challenges associated with data analysis and very little basis for generalizations of findings and conclusions.

John Dudovskiy