π What is a Case Study?
A case study is an in-depth investigation of a single individual, group, or event. It's like a detailed biography, but focused on psychological aspects. Researchers gather information through observation, interviews, and reviewing records to understand the complexities of the case.
- π In-Depth Analysis: Case studies provide a rich, detailed understanding of a specific situation.
- π£οΈ Qualitative Data: Information is often descriptive, focusing on experiences and perspectives.
- π
Longitudinal: Case studies can follow a subject over an extended period.
π§ What is an Experiment?
An experiment is a controlled research method used to determine cause-and-effect relationships. Researchers manipulate one or more variables (independent variables) to see their effect on another variable (dependent variable), while controlling for other factors.
- π§ͺ Controlled Environment: Experiments are typically conducted in controlled settings to minimize extraneous variables.
- π Quantitative Data: Data is usually numerical and analyzed statistically.
- π― Cause-and-Effect: The primary goal is to establish a causal relationship between variables.
π Case Study vs. Experiment: A Side-by-Side Comparison
| Feature |
Case Study |
Experiment |
| Purpose |
To provide a detailed understanding of a specific case. |
To establish cause-and-effect relationships. |
| Sample Size |
Small (often one individual or group). |
Larger, to ensure statistical power. |
| Data Type |
Qualitative (interviews, observations, documents). |
Quantitative (numerical data, measurements). |
| Control |
Low; naturalistic observation. |
High; manipulation of variables. |
| Generalizability |
Limited; findings may not apply to others. |
Higher; aims to generalize findings to a population. |
| Replication |
Difficult; each case is unique. |
Easier; standardized procedures allow for replication. |
| Bias |
Susceptible to researcher bias. |
Controlled to minimize bias. |
π‘ Key Takeaways
- π― Different Goals: Case studies explore, while experiments explain.
- π¬ Methodological Differences: Case studies use qualitative data, while experiments use quantitative data.
- π Generalizability: Experiments aim for broader application, case studies focus on depth.