amj-data-analysis
brycewang-stanford/Awesome-Journal-Skills
This guide provides a comprehensive framework for conducting rigorous statistical analysis and ensuring methodological validity for empirical manuscripts. It covers establishing measurement validity (CFA, reliability), selecting appropriate estimators (SEM, HLM, IV), addressing biases (CMB, endogeneity), and robust reporting of complex effects (mediation, moderation) required for top-tier academic journals.