| name | cross-national-design |
| description | Design cross-national survey experiments: power, equivalence, localization. |
| argument-hint | [describe your cross-national study or country selection] |
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. reference/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.
- Cases should be selected to vary on theoretically relevant dimensions (e.g., regime type, institutional structure, immigration history, partisan polarization), not for convenience or data availability. Each case should serve a specific theoretical function identified in the step above.
