Writing Style (cogpsych-writing-style)

SkillAI & models

Use when drafting or polishing a Cognitive Psychology (Elsevier) manuscript, a long-form, integrative article that must weave multiple experiments and a formal model into one continuous theoretical argument. Tightens structure, the experiment-to-model narrative, and APA-style reporting; it does not invent content. Verify the journal's current length and format guidance on the official page.

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What this skill tells your AI

The instructions your AI receives, as published by brycewang-stanford/awesome-journal-skills in Cognitive-Psychology-Skills/skills/cogpsych-writing-style/SKILL.md and read by Ahel’s review.

Cognitive Psychology publishes longer, integrative articles, so the challenge is the opposite of a short-report journal: the danger is not the word limit but losing the argument across many experiments and a model. Writing well here means making a multi-experiment program plus a formal model read as one cumulative theoretical argument, in clear scientific prose with rigorous (APA-style) statistical reporting.

When to trigger

  • Drafting the Introduction/General Discussion or doing a structural pass
  • A series of experiments reads as a list rather than a single argument
  • Integrating the model exposition with the empirical sections
  • Aligning statistical reporting and references to the journal's style before submission

Writing the long-form, model-driven paper

  1. Front-load the theoretical claim. State the question, the rival accounts, and the contribution in the Introduction (see cogpsych-literature-positioning). The reader should know what is at stake before Experiment 1.
  2. Make each experiment a step in the argument. Open each experiment with the specific question it answers and what it adds (rules out a confound, tests a divergent prediction); close with a brief bridge to the next. Avoid a flat "Experiment N: Method/Results" list.
  3. Integrate the model, don't append it. Introduce the model where it does explanatory work — often alongside the experiments it explains — not as a detached final section the empirical reader skips.
  4. General Discussion earns its length. Synthesize across experiments and the model fit; state the theoretical advance and its scope; keep limitations honest. This is where the integrative payoff is delivered, not a restatement of each Results section.
  5. Report statistics rigorously. Effect sizes with intervals for behavior, model-comparison criteria for fits, exact test statistics; APA-style author-date citations and reference formatting. Confirm the current style requirements on the official guide for authors.

Structure that keeps a multi-experiment paper coherent

SectionJobFailure mode to avoid
Introductionquestion + rival accounts + contributionchronological phenomenon history
Model (where introduced)formalization + what each parameter meansa detached "the model" section nobody reads
Experiments 1..keach adds inference, with a bridgea flat list of independent studies
General Discussionsynthesis + theoretical advance + scoperestating each Results section

Worked micro-example — making experiments cohere (illustrative)

For the recognition-memory program, the General Discussion turns three experiments into one claim:

Weak: "Experiment 1 found a linear z-ROC. Experiment 2 also found a linear
       z-ROC. Experiment 3 found a linear z-ROC."
Strong: "Across three experiments engineered to make z-ROC shape diagnostic -
       and after ruling out a list-composition confound (Exp 2) and testing a
       further divergent prediction (Exp 3) - the z-ROC was reliably linear,
       the qualitative signature UVSD predicts and DPSD forbids. The single
       continuous-strength account is thus favored not by a fit index alone
       but by a pattern the rival cannot produce."

Cohesion playbook

  • Replace "Experiment N also showed X" with "having established X, we next asked whether..." — make the series a chain of questions, not a pile of studies.
  • Put procedural detail in Method and lengthy derivations/recovery in an appendix/supplement so the main narrative stays about the theory.
  • Replace dichotomous "significant" sentences with estimation/model-comparison phrasing — more precise and more venue-appropriate.
  • If the General Discussion restates Results, cut it; lead with the cross-experiment synthesis and the theoretical advance.

Prose-stage reviewer pushback and the venue fix

  • "Reads as a list of experiments" → add the question-and-bridge structure; synthesize in the General Discussion.
  • "The model feels bolted on" → introduce it where it explains the data; connect each experiment to a model prediction.
  • "Stats without effect sizes / model comparison" → report intervals and comparison criteria, not stars.
  • "Too long for what it says" → length must buy integration; cut redundant per-experiment recaps.

Anti-patterns

  • A multi-experiment paper written as independent, disconnected studies
  • A formal model quarantined in a section detached from the experiments
  • A General Discussion that restates each Results section instead of synthesizing
  • Statistics reported without effect sizes/intervals or without model comparison
  • Length used to pad rather than to integrate the program

Output format

【Theoretical claim front-loaded】question + rivals + contribution? [Y/N]
【Experiments cohere】each adds inference, with bridges? [Y/N]
【Model integrated】introduced where it explains, not appended? [Y/N]
【General Discussion】synthesis + advance + scope, not restatement? [Y/N]
【Reporting】effect sizes/intervals + model comparison + APA style? [Y/N]
【Next】cogpsych-open-science-and-transparency

Supplementary resources

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Item type
skill
Key
cogpsych-writing-style
Source
github.com/brycewang-stanford/awesome-journal-skills