Review Process (psci-review-process)

Psychological Science combines high-impact selectivity with strong credibility checks. Reviewers and editors weigh not only whether the finding is interesting, but whether it is robust, adequately powered, and transparent. Knowing this lets you pre-empt the common rejection reasons.

When to trigger

• Before submitting, to stress-test the manuscript
• Deciding whether to use the Registered Reports route
• Interpreting a decision letter and setting expectations

How review works

1. Anonymized review. Initial submissions are anonymized; keep author identity out of the manuscript and out of repository links (see psci-submission).
2. Editorial triage. Editors assess impact, breadth, robustness, and fit; the very tight format means weak-fit or thin papers may be declined without full review.
3. External review assesses theoretical contribution, design and power, analysis and disclosure, and the strength of the claim relative to the evidence.
4. Transparency is graded. The Research Transparency Statement is shared with reviewers, and "limits on transparency will be a factor in editorial decisions"; preregistration quality is also weighed.
5. Decisions. Reject, revise and resubmit, or accept; expect substantive revision and frequent requests for added robustness, disclosure, or analyses.

Registered Reports route (strongest for confirmatory claims)

• Stage 1: theory + design + analysis plan reviewed before data; in-principle acceptance commits the journal regardless of outcome if you follow the plan. Stage 2 reports the results. This route protects against publication bias and is well suited to confirmatory and replication work (and RR with Existing Data for prior-collected data).

Shape the paper to pass

• Make impact and breadth explicit early; show the result is robust and well-powered.
• Disclose fully and share data/materials (or justify exemptions) — credibility signals matter here.
• Separate confirmatory from exploratory analyses honestly.
• Fit the format — reviewers notice when a paper fights the word limit.

Desk-reject and decline-without-review patterns

The tight format and credibility screen mean many manuscripts never reach external review. Confirm current categories and limits against the journal's submission guidelines, but recognize these shapes:

Worked micro-example (illustrative triage)

Manuscript: two preregistered attention studies (N = 240; N = 300),
            open data + materials with DOIs, effect sizes + CIs.
Editor read: impact (load-bearing premise), breadth (clinical inheritance),
            robustness (internal replication), transparency (graded — strong).
Likely route: external review, probable R&R for added robustness/disclosure.
Counter-case: same finding, one N = 45 study, no prereg, request-only data
            → likely declined without full review.

How reviewers weigh the evidence (calibration anchors)

• A powered internal replication is the single strongest signal you can send; it converts "interesting but fragile" into "credible."
• Transparency is graded, not pass/fail — a candid exemption with an access path reads better than silent opacity. Preregistration quality (specific, dated, followed) matters more than its presence.
• Registered Reports are the venue's structural answer to publication bias; choosing the route after data exist defeats its purpose and reviewers will say so.

Anti-patterns

• A surprising but underpowered, single-study effect
• Weak or absent transparency (counts against the paper)
• Exploratory results dressed as confirmatory
• Expecting acceptance without a robustness/disclosure-heavy R&R
• Choosing a Registered Report after results exist

Output format

【Impact + breadth】clear early? [Y/N]
【Robustness + power】adequate? [Y/N]
【Transparency】data/materials + statement + preregistration strong? [Y/N]
【Confirmatory vs exploratory】honest? [Y/N]
【Route】Research Article vs Registered Report
【Realistic outcome】reject / R&R / accept
【Next】psci-submission (or psci-rebuttal if decided)

Supplementary resources

• ../../resources/official-source-map.md — review model, transparency weighting, Registered Reports