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joap-review-process
GitHub解析JAPA期刊的审稿流程与标准，涵盖匿名评审、行动编辑模式及理论与方法的双重把关机制。用于投稿前压力测试、解读拒稿信或预判编辑决策，帮助作者规避常见 Desk-reject 风险并优化稿件以符合高标准要求。
Trigger Scenarios
投稿前对稿件进行压力测试
为匿名评审调整贡献与方法论框架
解读期刊决定信并设定预期
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill joap-review-process -g -y
SKILL.md
Frontmatter
{
"name": "joap-review-process",
"description": "Use when you need to understand how the Journal of Applied Psychology (JAP) evaluates a manuscript — masked (anonymized) peer review, the action-editor model, the dual gate of theoretical contribution and measurement\/design rigor, and common desk-reject patterns. 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 (joap-review-process)
JAP is selective and exacting. Reviewers and the action editor weigh theoretical contribution and methodological rigor together — an interesting finding with weak measurement, and a flawless design with no theory advance, are both common rejections. Review is masked (anonymized). Knowing how the gate works lets you pre-empt the standard rejection reasons.
When to trigger
- Before submitting, to stress-test the manuscript
- Deciding how to frame the contribution and rigor for masked reviewers
- Interpreting a decision letter and setting expectations
How review works
- Masked review. Author identities are withheld throughout consideration; keep names out of the
manuscript and out of repository/preregistration links (see
joap-submission). - Editorial triage. The editor / action editor screens for fit, theoretical contribution, and rigor; weak-fit or atheoretical papers are frequently desk rejected without full review.
- Action-editor model. An associate/action editor manages the manuscript and several reviewers and writes the decision; the editor's letter is the rubric you must satisfy on revision.
- External review assesses the theoretical contribution, construct validity and measurement, design and causal warrant, analysis (SEM/HLM/mediation/meta-analysis), and transparency.
- Transparency is weighed. TOP-aligned data/materials/code sharing and preregistration factor into evaluation; opacity is a mark against the paper.
- Decisions. Reject, major/minor revise-and-resubmit, or accept; expect a demanding R&R, often across multiple rounds, before acceptance.
The dual gate (what gets papers in)
| Gate | What reviewers ask | Where to fix it |
|---|---|---|
| Theoretical contribution | Is there a new mechanism/boundary/integration? | joap-theory-and-hypotheses, joap-literature-positioning |
| Construct validity / measurement | Are the constructs validly measured? | joap-study-design |
| Causal / inferential warrant | Does the design support the claim (CMV, nesting)? | joap-study-design, joap-data-analysis |
| Analytic rigor | SEM fit, indirect-effect CIs, multilevel done right? | joap-data-analysis |
| Transparency | Data/materials/code shared under TOP? | joap-open-science-and-transparency |
Desk-reject and decline-without-review patterns
The dual gate means many manuscripts never reach external review. Confirm current categories on the official page, but recognize these shapes:
| Pattern an editor sees | Likely outcome | Pre-empt it by |
|---|---|---|
| Rigorous study, no theoretical advance | desk reject | state the new mechanism/boundary/integration up front |
| Cross-sectional single-source self-report | desk reject (rigor) | add temporal/source separation or an experimental leg |
| Better fit for a sibling venue | desk reject (fit) | make the I-O micro/measurement contribution explicit |
| Mediation by Sobel/steps; OLS on nested data | thin-method flag | modern indirect-effect CIs; multilevel models |
| "Data available on request," no DOIs | returned for compliance | deposit with persistent IDs before submitting |
Worked micro-example (illustrative triage)
Manuscript: two-wave multilevel field study (612 in 74 teams) + lab experiment,
servant leadership → safety → performance, open data/materials/code,
experiment preregistered, indirect-effect CI reported.
Editor read: contribution (cross-level mechanism + boundary), rigor (temporal +
multilevel + experimental leg), transparency (TOP-aligned — strong).
Likely route: external review, probable major R&R (added robustness/alternative
models, sharper boundary theory).
Counter-case: same finding, one cross-sectional single-source survey, no prereg,
request-only data → likely desk reject.
How reviewers weigh the evidence (calibration anchors)
- The single strongest signal is theory + rigor together: a clear mechanism and a design that can bear the causal/cumulative claim. Either alone usually loses.
- A causal leg (experiment or field experiment) attached to a field study converts "interesting correlation" into "credible mechanism."
- Transparency is weighed, not pass/fail — a candid exemption with an access path reads better than silent opacity; preregistration quality matters more than mere presence.
- Expect multiple R&R rounds; reviewers test alternative explanations and measurement rivals hard.
Anti-patterns
- A rigorous but atheoretical paper (the venue's most common rejection)
- Cross-sectional single-source self-report as the whole evidentiary base
- Exploratory results dressed as confirmatory
- Weak or absent transparency (counts against the paper)
- Expecting acceptance without a demanding, multi-round R&R
Output format
【Theoretical contribution】clear + new? [Y/N]
【Construct validity / measurement】adequate? [Y/N]
【Causal / inferential warrant】CMV + nesting handled? [Y/N]
【Analytic rigor】SEM fit / indirect CIs / multilevel correct? [Y/N]
【Transparency】data/materials/code + preregistration strong? [Y/N]
【Realistic outcome】desk reject / R&R / accept
【Next】joap-submission (or joap-rebuttal if decided)
Supplementary resources
../../resources/official-source-map.md— masked review model, TOP weighting, action-editor process
Version History
- 1839142 Current 2026-07-05 13:26
