Exploring the Case Study Method (Forum Post)

Strengths of Case Studies – a multi-faceted research approach
1. Flexible: case studies can be used in many different ways within varying philosophical paradigms. They can be deductive (theory testing) or inductive (theory building). This can lead to qualitative or quantitative methods. The researcher can also choose to look at one case or multiple cases. It can be constructed within interpretivist, positivist, or critical theory paradigms. This adaptability can be useful if the dynamic being studied is particularly unique.
2. In-depth Understanding: Case studies can provide detailed examination of the selected phenomenon. This depth enables researchers to explore complex issues, providing a rich understanding of the context.
3. Real-world Context: The method is particularly useful for studying phenomena in their natural context. This real-world context enhances the external validity of the findings, making them more applicable to similar situations.
4. Holistic: Case studies often involve the collection of diverse data types (interviews, observations, documents), allowing for a holistic analysis, meaning multiple perspectives can be considered.
5. Hypotheses: Case studies are exploratory and can generate hypotheses for further research. They are useful for investigating new or emerging phenomena where little is known.

Weaknesses of the Case Study Method:
1. Adaptability can also be a weakness in the sense that it can be challenging to design a case study that is very open in its approach.
2. Time: Case studies can take a long time to complete which can lead to problems with organisation and participant contact. It can also result in large amounts of data, which can be difficult to analysis and draw conclusions from.
3. Limited Generalisability: Findings from a case study may not be easily generalised to a broader population due to the unique nature of each case. This limits the external validity of the research.
4. Subjectivity: Interpretation of data in case studies involves a degree of subjectivity, as researchers analyse and make sense of complex information. This subjectivity may introduce bias.

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