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Vibe-Skills 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.

install
source · Clone the upstream repo
git clone https://github.com/foryourhealth111-pixel/Vibe-Skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/foryourhealth111-pixel/Vibe-Skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/bundled/skills/designing-experiments" ~/.claude/skills/foryourhealth111-pixel-vibe-skills-designing-experiments && rm -rf "$T"
manifest: bundled/skills/designing-experiments/SKILL.md
tags
#causal-inference#statistical-analysis#research-design#data-analysis#method-selection
source content

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).