Registered Report Template: Preregistration, Deviations, and Claim Boundaries

This document is a template, not an empirical study. It demonstrates the registered-report workflow end to end: locking a preregistration, validating its completeness, executing the registered analysis plan against deterministic demonstration data, and reporting confirmatory and exploratory claims through an explicit deviation ledger. Every quantity reported here is produced by the tested code in src/registered report/ and regenerated by scripts/generate figures.py; none is hand-entered or illustrative. The demonstration binds a single confirmatory hypothesis (H1) to one registered outcome (primary score) analysed by a two-sided label-permutation test. Run on a seeded two-group dataset (seed = 20260709, n = 24 per group), the registered test yields an observed mean difference of 1.003 with a two-sided permutation p-value of 0.0005 (0 of 2000 shuffles at least as extreme), significant at