Skill UI

This skill guides the creation of rigorous, self-contained tables and figures (exhibits) for academic journals like Public Opinion Quarterly (POQ). It ensures that all visual data accurately report design-based uncertainty, weighting adjustments, and the base N, meeting the high standards required for empirical survey research.

This guide provides a framework for selecting and defending the appropriate research methodology for innovation-studies claims. It covers best practices for patent/bibliometric analysis, causal policy evaluation (e.g., DID, RDD), survey design, case studies, and mixed methods. It emphasizes that the method must fit the construct, not merely the indicator, guiding users to defend the underlying theoretical mechanism.

This comprehensive guide helps researchers defend their complex study designs—whether they involve lab experiments, large-scale surveys, or qualitative observations—against rigorous methodological critique. It emphasizes establishing a clear, credible link between theoretical mechanisms and empirical evidence, focusing specifically on the structure-individual link. It covers advanced inference techniques, identifying potential confounding variables, and articulating the design's limitations.