Skill UI

This skill provides a robust, systematic framework for evaluating the rigor of scientific claims and research studies. It guides users in assessing experimental design validity, detecting various biases (selection, confounding, publication), and evaluating statistical evidence. By applying established grading standards like GRADE and Cochrane Risk of Bias, it is essential for conducting systematic literature reviews, peer reviews, and deep scientific critical analysis.

A comprehensive guide for drafting a professional and structured point-by-point rebuttal letter to journal reviewers. It details the process of triaging comments, addressing statistical concerns (e.g., ITT analysis, SAP adherence), and maintaining cautious causal language required in high-impact scientific publishing. Learn how to structure your response to maximize credibility and successfully revise your manuscript.

This guide provides a comprehensive framework for authors writing for development economics journals, specifically addressing the need to bridge the gap between rigorous econometric analysis and actionable policy advice. It teaches how to structure introductions, write concise abstracts, and frame findings by emphasizing policy magnitudes over statistical significance, ensuring the work speaks to both technical economists and non-specialist policymakers.

This skill provides comprehensive norms for executing and reporting robust, reproducible data analysis in comparative, cross-national, or formal-empirical studies. It guides authors on honestly reporting uncertainty, ensuring statistical robustness, performing rigorous cross-national inference, and integrating qualitative evidence through triangulation to meet the demanding standards of top academic journals.