| Feature | Case Study | Laboratory Experiment |
|---|---|---|
| Focus | Individual/Unique cases | General laws/Group averages |
| Control | Low (naturalistic) | High (manipulated variables) |
| Data Type | Primarily Qualitative | Primarily Quantitative |
| Validity | High Ecological Validity | High Internal Validity |
While experiments seek to establish cause-and-effect through manipulation, case studies seek depth and meaning through observation and description.
Case studies are often used to generate hypotheses that can later be tested using more controlled experimental methods.
Link to Debates: When discussing case studies, always reference the Idiographic vs. Nomothetic debate. Case studies are the gold standard for the idiographic approach.
Evaluate Holism: Emphasize that case studies are holistic because they consider the whole person and their environment, rather than reducing behavior to single variables.
Check for Bias: In exam answers, mention that the close relationship between researcher and participant can lead to a loss of objectivity, potentially biasing the results.
Generalizability Warning: Always qualify findings by stating they may not apply to the wider population due to the unique nature of the sample.
The Generalization Trap: A common mistake is assuming that because a phenomenon was observed in one individual, it must be true for everyone. Case studies provide 'proof of concept' but not 'proof of universality'.
Retrospective Bias: Many case studies rely on the participant's memory of past events, which can be distorted or inaccurate, leading to issues with data reliability.
Subjective Interpretation: Because the data is often qualitative, different researchers might interpret the same interview or observation in different ways based on their own theoretical leanings.