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cogpsych-data-analysis

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Use when analyzing data and fitting/comparing models for a Cognitive Psychology (Elsevier) manuscript. The journal expects principled model fitting and comparison (AIC/BIC/Bayes factors), parameter and model recovery, (generalized) linear mixed models or hierarchical Bayesian estimation where apt, and effect sizes with uncertainty — all reproducible from shared code. Guides the analysis and modeling; it does not fabricate results.

When to use

• Fitting the formal model and comparing it to rival accounts
• Running the behavioral analyses (mixed models, hierarchical Bayesian, contrasts)
• A reviewer asked for model comparison, recovery, robustness, or fuller disclosure
• Preparing analysis/model code and a data dictionary for deposit

When not to use

• fabricate results

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