pre-registration-writing

Draft a pre-analysis plan by defining study information, hypotheses, design, sampling, variables, analysis tiers, and contingency plans. This skill structures the entire PAP for experimental social science, ensuring clear documentation, explicit model specifications, and reproducible research planning.

Choosing a pre-registration registry depends on your field's norms. This skill provides selection guidance for OSF, EGAP, and AsPredicted, matching your experimental design with the appropriate registry-specific templates, versioning requirements, and structured documentation formats.

A three-tier analysis approach in a pre-analysis plan classifies analyses into locked, conditional, and exploratory tiers. This framework sets explicit decision rules and formal model specifications before data collection, ensuring reproducible, transparent analysis and structured contingency planning.

Plan for contingencies and deviations in a pre-registration by documenting explicit decision rules for analysis changes. This skill guides contingency planning and deviation protocols, ensuring your pre-analysis plan remains rigorous even if experimental conditions require adjustments.

Yes, you can pre-register simulated-data code. This skill supports code registration for experimental social science designs, allowing you to validate analysis scripts and model specifications before data collection, satisfying open-science reproducibility requirements.

Map a pre-analysis plan to a final paper using a PAP-to-paper mapping protocol. This skill establishes a structured documentation framework that aligns your pre-registered hypotheses, three-tier analysis rules, and deviation records directly with your final research paper sections.