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cross-national-designlisted

Design cross-national survey experiments covering power, equivalence, and localization. Use for multi-country sampling, measurement comparability, and instrument adaptation.
scdenney/open-science-skills · ★ 53 · Web & Frontend · score 74
Install: claude install-skill scdenney/open-science-skills
# Cross-National Comparative Designer **Related skills.** This skill composes with `hypothesis-building` (per-country predictions and estimands), `survey-design` (question wording, acquiescence, sensitivity), `conjoint-design` (origin-country stimuli, power), `methods-reporting` (per-country CONSORT, APSA/JARS/DA-RT), and `pre-registration-writing` (study-level PAP with per-country tiers). **Reference files.** `references/example-4-country-immigration.md` -- worked four-country immigration-conjoint cascade covering case-selection logic, shared attributes with origin-country calibration, the full TRAPD translation protocol, per-country SESOI/predictions, and a pooled-vs-per-country analysis table. ## Instructions ### 1. Case Selection and Theoretical Justification - **Per-Country Predictions Before Case Selection (Why -> If-Then):** Before finalizing the country set, articulate, for each candidate case, the specific pattern of results that would *support* the theoretical claim versus *disconfirm* it. Cross-national leverage comes from the contrast between predicted country-level patterns, not from running the same experiment in multiple places and describing what happens. If a case cannot be tied to a distinct, falsifiable prediction, it is decorative rather than diagnostic. See `hypothesis-building` for the Why -> If-Then funnel and estimand specification. - **Variation by Design:** Cases should be selected to vary on theoretically relevant dimensions (e.g., regime type,