Explanatory case study

Definition

An explanatory case study is a research method used to provide an in-depth analysis of a particular phenomenon, event, or situation to explain its underlying causes and effects. This type of case study typically involves collecting qualitative data through various means such as interviews, observations, and document analysis, allowing researchers to develop a deeper understanding of complex issues by exploring context and relationships.

5 Must Know Facts For Your Next Test

1. Explanatory case studies are often used in social sciences to investigate complex phenomena that cannot be easily quantified.
2. This approach allows for the integration of various data sources, providing a comprehensive view of the case being studied.
3. The primary aim of an explanatory case study is to generate insights that can inform policy, practice, or future research.
4. Researchers can use explanatory case studies to test theoretical propositions or to explore new theoretical perspectives.
5. The findings from explanatory case studies can lead to rich, descriptive narratives that illustrate causal relationships and contextual factors.

Review Questions

• How does an explanatory case study differ from other types of case studies in terms of its objectives and methodology?
  • An explanatory case study focuses on understanding the causal relationships and underlying factors of a particular phenomenon, setting it apart from descriptive or exploratory case studies. While descriptive case studies aim to provide detailed accounts and exploratory case studies seek to identify patterns, explanatory case studies strive to explain 'why' something occurs. This involves a systematic approach that utilizes qualitative data collection methods, allowing for a nuanced exploration of complex issues.
• Discuss how the use of qualitative data enhances the findings of an explanatory case study compared to quantitative data.
  • Qualitative data enriches the findings of an explanatory case study by providing context, depth, and nuance that quantitative data often lacks. Through interviews, observations, and document analysis, researchers can capture participants' experiences and perspectives, enabling a more comprehensive understanding of the factors influencing a specific event or phenomenon. This holistic approach helps uncover intricate relationships and contextual elements that might be overlooked in purely quantitative analyses.
• Evaluate the implications of using explanatory case studies for understanding real-world problems and informing policy decisions.
  • Using explanatory case studies has significant implications for understanding real-world problems as they allow for detailed exploration of complex issues within their specific contexts. By revealing causal relationships and contextual influences, these studies can inform policy decisions by providing evidence-based insights into what interventions may be effective. Furthermore, the rich narratives produced through this method can engage stakeholders and policymakers, fostering a deeper appreciation for the complexities involved in addressing societal challenges.

Related terms

Qualitative Research: A research method focused on understanding human behavior and the reasons that govern such behavior through non-numerical data.

Case Study Methodology: A systematic approach to research that involves an in-depth exploration of a specific case within its real-life context.

Data Triangulation: The use of multiple data sources or methods to study a phenomenon to enhance the credibility and validity of the research findings.