devpsych-rebuttal — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited devpsych-rebuttal (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
A Developmental Psychology R&R typically asks for a measurement-invariance test, an attrition analysis, added robustness, fuller JARS disclosure, or stronger transparency — and all of it must fit back inside the length tier, with masking intact if review is masked. The response letter must convert every reviewer and reassure the handling editor that the developmental claim is credible.
(often: invariance, age-vs-cohort, attrition); the editor adjudicates among reviewers.
attrition with FIML/MI, add a robustness model, justify N, share data — make the paper stronger. Do them and say where; update the data-availability statement if sharing changed.
main text stays within budget; summarize briefly in the main text and point to the supplement.
with a reason — and never add an analysis that quietly undercuts the change claim without disclosing it.
masked, and ensure new analyses are reflected in the shared scripts/data (see devpsych-open-science-and-transparency).
For each reviewer comment:
> [Quoted reviewer comment]
Response: [What we did / why we respectfully disagree].
Change: [Main text section, supplement section, or table/figure number].Open with a short summary of the main changes to the editor; group by reviewer; end each entry with the location (note when content went to the supplement to protect the length tier).
For the three-wave effortful-control package, an R&R asked for invariance, attrition handling, and N.
> R2: You interpret growth, but is the measure invariant across ages 4-8?
Response: A fair and important point. We now test measurement invariance
before interpreting change: configural, metric, and scalar invariance hold
across waves (ΔCFI < .01; table now in Results). Mean change is therefore
interpretable on a common metric.
Change: Results (new invariance subsection + Table 2); Method (test plan).
> R1: Attrition (18%) could bias the trajectory.
Response: We refit all models with FIML under MAR and compared completers
and dropouts on baseline covariates (no differences). A pattern-mixture
sensitivity analysis leaves the slope and interaction unchanged.
Change: Results (FIML); attrition + sensitivity analysis → Supplement S2.| Reviewer ask | Default home (protects the length tier) | Note |
|---|---|---|
| Measurement-invariance test | Method + Results (it underwrites the claim) | compact table; full fit indices to supplement |
| Attrition / missing-data analysis | Results + supplement | FIML/MI in text; full table in supplement |
| Added robustness / alternative model | online supplemental material | one summarizing sentence in main text |
| "Address age vs. cohort" | Discussion (+ design note) | reframe or add covariate/sequential argument |
| Fuller JARS disclosure | Method + data-availability statement | a table, not prose, to save words |
| Effect-size/CI reporting | tables and inline | route exhibits to devpsych-tables-figures |
the level achieved; this is the single most common developmental R&R request.
alone.
is the cardinal sin.
【Editor's decisive points】addressed first? [list]
【Coverage】every reviewer comment answered? [Y/N]
【Claim strengthened】invariance/attrition/power/disclosure improved? [Y/N]
【Length tier】new material in supplement; main text within limit? [Y/N]
【Transparency updated】scripts/data/data-availability statement in sync? [Y/N]
【Masking intact】[Y/N/NA]
【Next】resubmit via Editorial Manager../../resources/official-source-map.md — review model, JARS, TOP, and length tiers../../resources/external_tools.md — invariance/SEM, missing-data, and power tooling~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.