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Case Studies - Coggle Diagram
Case Studies
Five Different Case Study Designs
most-similar case selection
Cross-case
Least-similar case selection
Cross-case
Deviant case selection
Single case
Cross-case & over-time comparison
Cross-case
Least-likely case selection
Single case
Single-case design vs Cross-case design
Scope of proposition: depth (single case) vs. breadth (cross-case)
Research logic: exploratory (single case) vs. confirmatory (cross-case)
Type of inference: descriptive (single-case) vs. causal (cross-case)
Causal insight: mechanism (single case) vs. effects (cross-case)
Strategies for selecting cases
Single in-depth case study can be intriguing if case is relevant & qualitative methods are applied to get to deeper meanings of case
Large-n case studies possible if data for each case remains simple
Need to avoid selection bias towards verifying preconceived notions
Different criteria available to select cases in case study research (i.e. least-likely/deviant/most-similar/comparative)
Questions approached through case studies
Q's focused on comparing one historical event with others
Q's focused on particular concept which cases represent
Q's focused on particular historical event/ phenomenon
Q's focused on hypothesis testing & verifying causal effects across different instances & phenomena to increase validity