--- name: cogpsych-writing-style description: 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. --- # Writing Style (cogpsych-writing-style) 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 | Section | Job | Failure mode to avoid | |---------|-----|-----------------------| | Introduction | question + rival accounts + contribution | chronological phenomenon history | | Model (where introduced) | formalization + what each parameter means | a detached "the model" section nobody reads | | Experiments 1..k | each adds inference, with a bridge | a flat list of independent studies | | General Discussion | synthesis + theoretical advance + scope | restating 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 - [`../../resources/external_tools.md`](../../resources/external_tools.md) — reference managers, reproducible reporting (Quarto/R Markdown), `papaja` - [`../../resources/official-source-map.md`](../../resources/official-source-map.md) — article length, style, and reference format