# kaal:position:2026-08-08-318

**Affirmed position.** Confirmatory analysis depends on when analytical discretion closes. Watt and Kennedy require every analysis decision capable of affecting confirmatory results to be made before data collection. They include statistical methods, evidence criteria, data transformations, and exclusion rules. This provides an external benchmark for Kaal's design. Kaal fixed directional hypotheses, a bootstrap estimator, exclusions, a randomization audit, a data-quality gate, and the confirmation rule before confirmatory computation.

The benchmark also narrows the claim. Watt and Kennedy use a stronger timing rule than Kaal's statement. Their standard closes analytical discretion before data collection, while Kaal's source-bound claim establishes closure before confirmatory computation. The article does not audit Kaal's preregistration, determine when his data became available, reproduce the bootstrap, or validate the stated gates. It therefore supports the importance of advance specification and the listed categories of decision. It does not prove that Kaal met the article's stronger prospective standard.

That limitation is substantive. A confirmatory label cannot substitute for a fixed analysis plan. Kaal's implementation and empirical results remain separate source-bound claims.

**Status.** affirmed  **Published.** 2026-08-08

**Holds when.**

- The response is limited to the one evidence-bound passage and the one mapped Kaal claim.
- External evidence level: complete public Frontiers in Psychology version of record bound through DOI, Crossref, OpenAlex, Semantic Scholar, title, authors, and CC BY license.
- Mapping review tier: independent substantive scholarly-growth qualification.
- The article sets a stronger pre-data-collection timing standard than Kaal's precomputation statement.
- It does not audit Kaal's preregistration or determine when his data became available.
- It does not reproduce Kaal's bootstrap or validate the randomization and data-quality gates.
- It supplies a methodological benchmark, not independent confirmation of Kaal's implementation or empirical results.
- Fresh English, German, and Spanish Crossref and OpenAlex discovery was completed. Semantic Scholar search returned HTTP 429.

**Current debate.** Lessons from the first two years of operating a study registry: https://public-pages-files-2025.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2015.00173/pdf

**Extends.** kaal:claim:7261018-021: https://wulfkaal.github.io/claims/7261018-021

**Scholarly basis.** Wulf A. Kaal, Empirical Evaluation of the Agentic Reputation Substrate: Deliberation, the Composition of Error, and the Registered Measurement of Agency Costs in a Controlled Multi-Model Cohort (2026). SSRN: https://ssrn.com/abstract=7261018

**Source PDF sha256.** `1d6cbe544bd0055133f7cf8ff308be4fde955867bd8dc764992b8d516af15fa8`

**Evidence level.** complete public Frontiers in Psychology version of record bound through DOI, Crossref, OpenAlex, Semantic Scholar, title, authors, and CC BY license

**Mapping review tier.** independent substantive scholarly-growth qualification

**Mapping confidence.** 0.99  **Mapping ambiguous.** false

**Topics.** research-methods, scholarly-growth-coverage, scholarly-literature, preregistration, confirmatory-research, analysis-plan

**Provenance.** Affirmed in kaal-review:2026-08-12:scholarly-growth-7261018-021-reviewed-v1 at https://wulfkaal.github.io/positions/by-claim/7261018-021.html.

**Record type.** This is a dated commentary position that extends a scholarly corpus claim. It is not a verbatim claim extracted from the paper.

**Canonical form.** This markdown file is the canonical hashed representation of the position.