Skills Data Science Cognitive Psychology Manuscript Workflow Router

Cognitive Psychology Manuscript Workflow Router

v20260724
cogpsych-workflow
This tool serves as an orchestrator for authors preparing submissions to Cognitive Psychology (Elsevier). It guides users through the entire research lifecycle—from initial topic selection and theoretical formalization to study design, data analysis, and open science practices. It emphasizes structuring the contribution as a model-driven, multi-experiment program, ensuring all necessary steps, including code transparency, are addressed.
Get Skill
406 downloads
Overview

Cognitive Psychology Workflow Router (cogpsych-workflow)

The orchestrator for a Cognitive Psychology (Elsevier) submission. The journal's two defining features are that it rewards longer, integrative, model-driven papers — typically a multi-experiment program tied to a formal/computational model — and that it expects data, model code, and analysis scripts to be shareable. The router makes sure the contribution is theory-and-model-shaped from the start, then sends the user to the matching skill.

When to trigger

  • Starting a new Cognitive Psychology paper and unsure where to begin
  • Mid-project and unsure which skill applies next
  • Choosing the contribution type (empirical-only vs. experiment-plus-model vs. modeling-led)
  • Returning with a decision letter (route to cogpsych-rebuttal)

First question: contribution type

Situation Type Route note
Several controlled experiments that jointly constrain a theory Multi-experiment empirical main pipeline; make each experiment add inference, not repeat
Experiments plus a fitted formal model (the common shape here) Experiment + model pull cogpsych-theory-and-hypotheses (formalize) + cogpsych-data-analysis (fit/compare) forward
A new model / analysis tested against existing or new data Modeling-led cogpsych-theory-and-hypothesescogpsych-data-analysis (model recovery + comparison)
Integrative theoretical synthesis or review with a substantive advance Theoretical / review cogpsych-literature-positioning + cogpsych-theory-and-hypotheses

A single short experiment reporting one effect is usually the wrong shape for this venue — that is a Psychological Science / short-report contribution. Cognitive Psychology wants the longer arc.

Routing map (stage → skill)

Idea / fit?                          → cogpsych-topic-selection
Theory + model + predictions?        → cogpsych-theory-and-hypotheses
Where does it sit in the field?      → cogpsych-literature-positioning
Experiments / stimuli / power?       → cogpsych-study-design
Analysis + model fit/comparison?     → cogpsych-data-analysis
Exhibits (data + model fit)?         → cogpsych-tables-figures
Long-form prose clear?               → cogpsych-writing-style
Data + model code + materials open?  → cogpsych-open-science-and-transparency
How will it be judged?               → cogpsych-review-process
Ready to submit (Editorial Manager)? → cogpsych-submission
Got an R&R / decision?               → cogpsych-rebuttal

Default order

topic-selection → theory-and-hypotheses → literature-positioning → study-design → data-analysis → tables-figures → writing-style → open-science-and-transparency → review-process → submission → rebuttal

Theory comes before positioning here on purpose: the formal model is the contribution, so formalize the account first, then position it against rival models. For experiment-plus-model papers, the model is co-designed with the experiments — iterate theory-and-hypothesesstudy-design.

Worked micro-example — routing a live project (illustrative)

A team has three preregistered recognition-memory experiments and a competing pair of models (unequal-variance signal detection vs. a dual-process account) they want to fit and compare.

Type:    Experiment + model (multi-experiment program, model comparison).
Entry:   not idea-stage → skip topic-selection; they are at theory/design/analysis.
Route:   theory-and-hypotheses (formalize both models + the predictions that
            separate them)
         → study-design (stimuli, list construction, power for the critical
            contrast across all three experiments)
         → data-analysis (fit both models; compare with AIC/BIC + Bayes
            factors; report parameter recovery)
         → tables-figures (overlay model fit on data, not bars of means)
         → writing-style (integrate three experiments into one argument)
         → open-science-and-transparency (deposit data + model code + scripts)
         → submission (Editorial Manager) ; on R&R → rebuttal.
Flag:    the model comparison must be pre-committed where possible and the
         fits reproducible from the deposited code.

Stage-triage table (symptom → skill)

What the author says Stage Route to
"Is one experiment enough for this journal?" fit cogpsych-topic-selection
"I have data but no formal model" theory cogpsych-theory-and-hypotheses
"Which model is better, AIC or BIC?" analysis cogpsych-data-analysis
"Reviewer says my experiments don't constrain the theory" design cogpsych-study-design
"How do I show model fit, not just means?" exhibits cogpsych-tables-figures
"Reviewer can't run my model code" transparency cogpsych-open-science-and-transparency
"I have an R&R" revision cogpsych-rebuttal

Routing pitfalls specific to this venue

  • Sending an experiment-only project straight to cogpsych-submission without a formal model or an integrative theoretical payoff — the journal's identity is model-driven theory development.
  • Treating the model as an afterthought bolted on at the end, instead of co-designing experiments to discriminate models from the start (iterate theory-and-hypothesesstudy-design).
  • Deferring cogpsych-open-science-and-transparency: model code and fits should be reproducible from deposit, not promised at acceptance.

Anti-patterns

  • Pitching a single-experiment, single-effect paper (wrong length/ambition for this venue)
  • Reporting experiments with no formal model and no integrative theoretical advance
  • A model that is described in prose but never fit to data or compared to a rival
  • Leaving data/model code/scripts unshareable until acceptance

Output format

【Stage】idea / theory / positioning / design / analysis / exhibits / writing / transparency / review / submit / rebut
【Type】Multi-experiment empirical / Experiment + model / Modeling-led / Theoretical-review
【Route to】cogpsych-<skill>
【Why】one line
【Then】the next skill after that

Supplementary resources

Info
Category Data Science
Name cogpsych-workflow
Version v20260724
Size 7.01KB
Updated At 2026-07-28
Language