agentsclimarketplace

Joap review process

Skill brycewang-stanford/Awesome-Journal-Skills/Journal-of-Applied-Psychology-Skills/skills/joap-review-process

Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的 Claude Code/Codex 期刊技能包,从选题、识别策略到表格规范与审稿回复全流程,助你快速发论文。

Install
npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill joap-review-process

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its author says it does

Copied from the file, not written here

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.

SKILL.md

5.9 KB, ~1.2k tokens by cl100k_base, as published. Nobody here has run it

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

  1. Masked review. Author identities are withheld throughout consideration; keep names out of the manuscript and out of repository/preregistration links (see joap-submission).
  2. 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.
  3. 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.
  4. External review assesses the theoretical contribution, construct validity and measurement, design and causal warrant, analysis (SEM/HLM/mediation/meta-analysis), and transparency.
  5. Transparency is weighed. TOP-aligned data/materials/code sharing and preregistration factor into evaluation; opacity is a mark against the paper.
  6. 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)

GateWhat reviewers askWhere to fix it
Theoretical contributionIs there a new mechanism/boundary/integration?joap-theory-and-hypotheses, joap-literature-positioning
Construct validity / measurementAre the constructs validly measured?joap-study-design
Causal / inferential warrantDoes the design support the claim (CMV, nesting)?joap-study-design, joap-data-analysis
Analytic rigorSEM fit, indirect-effect CIs, multilevel done right?joap-data-analysis
TransparencyData/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 seesLikely outcomePre-empt it by
Rigorous study, no theoretical advancedesk rejectstate the new mechanism/boundary/integration up front
Cross-sectional single-source self-reportdesk reject (rigor)add temporal/source separation or an experimental leg
Better fit for a sibling venuedesk reject (fit)make the I-O micro/measurement contribution explicit
Mediation by Sobel/steps; OLS on nested datathin-method flagmodern indirect-effect CIs; multilevel models
"Data available on request," no DOIsreturned for compliancedeposit 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

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.