--- name: devpsych-review-process description: Use when you need to understand how Developmental Psychology (APA) evaluates a manuscript — masked peer review, editorial weighting of developmental significance, design rigor (age/cohort, invariance, attrition), JARS reporting, and TOP transparency. Use when stress-testing a paper before submission or interpreting a decision letter. Sets expectations and shapes the paper to survive review; it does not contact editors. --- # Review Process (devpsych-review-process) Developmental Psychology combines theory-advancing selectivity with rigorous developmental-method scrutiny. The journal offers **masked peer review**, and editors and reviewers weigh not only whether the finding is interesting, but whether the **developmental claim is credible** (age vs. cohort, measurement invariance, attrition), whether reporting meets **JARS**, and whether transparency meets **TOP**. Knowing this lets you pre-empt the common rejection reasons. ## When to trigger - Before submitting, to stress-test the manuscript - Deciding whether to request masked review and how to anonymize - Interpreting a decision letter and setting expectations ## How review works 1. **Masked (anonymized) review available.** Authors may request masked review; if so, keep author identity out of the manuscript **and** out of shared links (see `devpsych-submission`). Masked review is intended to reduce bias against (e.g.) early-career or under-represented authors. 2. **Editorial triage.** The handling editor assesses developmental significance, theory advance, design rigor, and fit; weak-fit or "not-developmental" papers may be declined without full review. 3. **External review** assesses the theoretical contribution, the credibility of the **change claim** (age/cohort, invariance, attrition, power), analysis and JARS disclosure, and transparency. 4. **Transparency and reporting are weighed.** Under TOP and JARS, missing data-availability statements, unjustified opacity, or non-JARS reporting weaken a paper. 5. **Decisions.** Reject, revise and resubmit, or accept; expect substantive revision and frequent requests for invariance tests, attrition analyses, added robustness, or fuller disclosure. ## What developmental reviewers reliably probe - **Is it change, or a snapshot?** A cross-sectional age difference framed as development draws fire. - **Age vs. cohort.** Could the "age effect" be a cohort/era effect? Reviewers ask routinely. - **Measurement invariance.** Is the construct the same across the ages you compare? - **Attrition.** Is the trajectory biased by who dropped out, and is missingness modeled? - **Power for the change parameter** and JARS-complete reporting. ## Desk-reject and decline-without-review patterns Confirm current categories against the official guidelines, but recognize these shapes: | Pattern an editor sees | Likely outcome | Pre-empt it by | |------------------------|----------------|----------------| | Single-age finding framed as developmental | desk reject (fit) | add an age contrast/wave or reframe | | Cross-sectional age effect, no cohort discussion | review with heavy R&R | address age vs. cohort up front | | Trajectory interpreted with no invariance test | R&R or reject | report configural→metric→scalar first | | Listwise deletion with non-trivial attrition | R&R | refit with FIML/MI; add attrition analysis | | "Data available on request," no statement | returned for compliance | add a data-availability statement + DOIs | ## Worked micro-example (illustrative triage) ``` Manuscript: preregistered three-wave growth study (N = 300; ages 4-8), invariance established, FIML for attrition, open de-identified data + scripts, identifiable video via Databrary. Editor read: developmental significance (within-person growth + mechanism), rigor (invariance + attrition handled), transparency (TOP-strong). Likely route: external review, probable R&R for added robustness/disclosure. Counter-case: same finding, one age group, cross-sectional, no invariance, data on request → likely declined or not-developmental. ``` ## How reviewers weigh the evidence (calibration anchors) - A credible within-person change claim — invariant measure, modeled attrition, powered slope — is the strongest signal; it converts "interesting correlation" into "developmental finding." - Transparency under TOP is judged in context: a candid, justified restriction on minors' data with an access path reads better than silent opacity or unethical open posting. - Masked review is a tool against bias, not a guarantee — anonymize the manuscript *and* the repository links, or it is undone. ## Anti-patterns - A single-age or purely cross-sectional finding sold as developmental - Ignoring age-vs-cohort, measurement invariance, or attrition - Exploratory trajectory shapes dressed as confirmatory (JARS violation) - Weak or absent transparency / data-availability statement - Expecting acceptance without an invariance/attrition/disclosure-heavy R&R ## Output format ``` 【Developmental significance】clear + theory-advancing? [Y/N] 【Change claim credible】age/cohort + invariance + attrition + power? [Y/N] 【JARS reporting】complete (ES+CI, exclusions, missing data)? [Y/N] 【Transparency (TOP)】data-availability + preregistration handled? [Y/N] 【Masked review】manuscript + links anonymized? [Y/N] 【Realistic outcome】reject / R&R / accept 【Next】devpsych-submission (or devpsych-rebuttal if decided) ``` ## Supplementary resources - [`../../resources/official-source-map.md`](../../resources/official-source-map.md) — masked review, JARS, TOP, and editorial policy - [`../../resources/exemplars/library.md`](../../resources/exemplars/library.md) — verified exemplars showing credible developmental claims