survey-analysis-polisci

What problem does it solve?

This Skill helps you analyze political survey data correctly by accounting for complex sampling designs, survey weights, and cross-national measurement differences so your inference is valid and interpretable.

Core Features & Use Cases

• Complex-sample–aware weighted descriptives: compute weighted frequency tables, weighted means, and weighted cross-tabulations using ANES/CCES/ESS-style weight variables.
• Weighted binary and ordinal modeling: fit weighted (frequency-weighted) logistic regression and ordered logit for Likert or ordinal outcomes, suitable for political survey modeling.
• Weight calibration and design-based adjustment: calibrate survey weights via post-stratification raking and apply Rao–Scott chi-square adjustments for design effects.
• Cross-national equivalence workflow support: structure analysis around configural/metric/scalar invariance steps and enable country-level comparisons using ESS weights.

Quick Start

Use the survey-analysis-polisci skill to load your ANES or ESS dataset, compute weighted descriptive tables, estimate a weighted logit or ordered logit model, and (optionally) rake weights to match target margins.