Skills Data Science Academic Manuscript Submission Preflight Checklist

Academic Manuscript Submission Preflight Checklist

v20260724
cogpsych-submission
This comprehensive checklist guides authors through the final pre-submission review process for demanding academic journals. It ensures the manuscript is scientifically rigorous and complete, focusing on critical areas such as model-driven theoretical advancement, model comparison, data reproducibility (depositing code and verifying fit regeneration), and adherence to open science mandates. Use this guide before uploading to the journal's portal.
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Overview

Submission Preflight (cogpsych-submission)

The last check before submitting through Elsevier Editorial Manager. Two things sink Cognitive Psychology submissions most often: a wrong-shape contribution (single effect, no model/theory, or a model that is never compared) and non-reproducible modeling (fits that can't be regenerated, no code deposit). Verify volatile specifics (length, abstract limit, review model, current editor, declarations) on the official guide for authors first (检索于 2026-06;以官网为准).

When to trigger

  • "Submitting tomorrow" — last pass before upload
  • Unsure what the scope, format, and declaration requirements demand
  • Confirming the abstract, exhibits, model comparison, code deposit, and declarations are in order

Process facts (verify volatile items on the official page)

  • Owner / publisher: Elsevier. (检索于 2026-06;以官网为准)
  • Portal: Elsevier Editorial Manager (linked from the ScienceDirect guide for authors).
  • Identity: a leading cognitive-science journal favoring longer, integrative, model-driven articles; multi-experiment programs combined with formal/computational modeling.
  • Scope: attention, perception, memory, learning, language, categorization, reasoning, problem-solving, judgment and decision-making; modeling/neuroscientific approaches and substantive reviews welcome.
  • Style: APA-style statistical reporting and references; Elsevier formatting via the guide for authors. Confirm the current reference style and any structured-abstract requirement.
  • Open science: authors are strongly encouraged to share data, model/analysis code, and materials; complete the Elsevier research-data statement and declaration of competing interest.
  • Review model / length / abstract limits: volatile — confirm single- vs. double-anonymized review, any word/length guidance, and the abstract limit on the live page. 待核实.

Preflight checklist

Scope & shape

  • Contribution is a theoretical advance carried by a program (multi-experiment and/or a model)
  • If a model is central, it is fit and compared to a rival under matched flexibility
  • Not a single-effect / atheoretical paper better suited to a short-report venue

Front matter & format

  • Abstract present (confirm length/structure on the official page); keywords included
  • APA-style statistics (effect sizes + intervals; model-comparison criteria) and references
  • Exhibits show observed data + model fit (not bars of means); model-comparison table included
  • Manuscript follows Elsevier formatting/section conventions per the guide for authors

Modeling & disclosure

  • Model comparison reported (AIC/BIC/BF or cross-validation) with free-parameter counts
  • Parameter + model recovery reported
  • Mixed/hierarchical structure where the design demands it, with diagnostics
  • Confirmatory vs. exploratory clearly separated

Open science & declarations

  • Data deposited + DOI + codebook (or justified restriction)
  • Model/analysis code deposited; fits regenerate in a fresh session (run log)
  • Materials deposited + DOI
  • Elsevier research-data statement + competing-interest declaration + funding/contributions
  • Preregistration linked where applicable

Worked micro-example — preflight verdict (illustrative)

Running the recognition-memory program through the gate the night before upload:

Shape:      3 experiments + UVSD vs. DPSD comparison → theoretical advance → PASS
Model:      both models fit (matched flexibility); dBIC + BF reported;
            parameter + model recovery included → PASS
Hierarchy:  hierarchical Bayesian; R-hat ~ 1.00, ESS adequate → PASS
Exhibits:   z-ROC figure overlays observed data + both model curves; model-
            comparison table with free-parameter counts → PASS
Open sci:   data + model code + materials each have a DOI; fits regenerate
            in a fresh session (run log attached) → PASS
Declarations: competing interest (none) + research-data statement + funding
            completed in Editorial Manager → PASS
Verdict:    ready to upload to Editorial Manager.

Last-mile failure modes that trigger a return

Failure Caught by Quick fix
Model fit but never compared scope/shape check fit the rival; add the comparison table
Fits don't regenerate from code reproducibility check deposit seeded code + a fresh-session run log
Bars of means, no model overlay exhibit check redraw with observed data + model fit
"Data on request" instead of a DOI open-science check deposit and mint a persistent identifier
Competing-interest/data statement blank declaration check complete the Elsevier declarations before upload

Volatile specifics (length guidance, abstract limit, review model, current editor, exact declarations) change. Re-confirm every item above against the journal's current guide for authors before relying on it (检索于 2026-06;以官网为准).

Anti-patterns

  • Submitting a single-effect/atheoretical paper to a model-driven, long-form venue
  • A central model that is fit but never compared to a rival
  • Modeling that cannot be reproduced from the deposited code
  • Exhibits that hide the fit (bars of means) or assert "best fit" with no table
  • Missing Elsevier research-data / competing-interest declarations

Output format

【Shape】theoretical advance via a program; model fit + compared? [Y/N]
【Format】abstract + keywords + APA-style reporting + Elsevier formatting? [Y/N]
【Modeling】comparison + recovery + hierarchy + diagnostics? [Y/N]
【Open science】data + model code (reproducible) + materials + DOIs? [Y/N]
【Declarations】competing interest + research-data + funding? [Y/N]
【Next】await decision → cogpsych-rebuttal on revision

Supplementary resources

Info
Category Data Science
Name cogpsych-submission
Version v20260724
Size 4.93KB
Updated At 2026-07-28
Language