Skill UI

A comprehensive guide for preparing replication and transparency packages for World Development manuscripts. It provides checklists and best practices for both quantitative (code reproducibility, data provenance, de-identification) and qualitative (evidence-to-claim trail, methods appendix) research. It addresses ethical constraints and the unique challenges of double-anonymized review.

This comprehensive guide provides authors with structured frameworks for assessing robustness and trustworthiness in World Development manuscripts. It guides users to organize checks by identifying specific threats (e.g., specification dependence, measurement error) in quantitative work, or demonstrating methodological rigor (e.g., triangulation, negative-case analysis) in qualitative work. It ensures findings are thoroughly vetted against alternative explanations.