Designing Experiments

Selects the appropriate quasi-experimental method (DiD, ITS, SC) based on data structure and research questions. Use when the user is unsure which method to apply.

majiayu000 4d69ae1 2 files · 2.1 KB Updated 567 repo stars

File contents

Designing Experiments

Helps select the appropriate causal inference method.

Decision Framework

  1. Control Group?

    • Yes: Go to Step 2.
    • No: Consider Interrupted Time Series (ITS).
  2. Unit Structure?

    • Single Treated Unit:
      • With multiple controls: Synthetic Control (SC).
      • No controls: ITS.
    • Multiple Treated Units:
      • With control group: Difference-in-Differences (DiD).
  3. Time Structure?

    • Panel Data (Multiple units over time): Required for DiD and SC.
    • Time Series (Single unit over time): Required for ITS.

Method Quick Reference

  • Difference-in-Differences (DiD): Compares trend changes between treated and control groups. Assumes Parallel Trends.
  • Interrupted Time Series (ITS): Analyzes trend/level change for a single unit after intervention. Assumes Trend Continuity.
  • Synthetic Control (SC): Constructs a synthetic counterfactual from weighted control units. Assumes Convex Hull (treated unit within range of controls).

majiayu000/claude-skill-registry-data/tree/main/data/designing-experiments commit 4d69ae1ff5

Frequently asked questions

npx skillmds add majiayu000/designing-experiments