--- name: cogpsych-topic-selection description: Use when deciding whether a cognition project fits Cognitive Psychology (Elsevier) and what contribution shape to target. The journal favors longer, integrative, model-driven work that produces a substantial theoretical advance — not a single isolated effect. Frames the question and the model-or-theory payoff; it does not collect data. --- # Topic Selection & Fit (cogpsych-topic-selection) Cognitive Psychology publishes **longer, integrative articles that have a major impact on theories of cognition**. The bar is a **substantial theoretical advance** — usually carried by a **multi-experiment program tied to a formal/computational model**, an incisive experimental series, or a modeling/review contribution. Use this skill to pressure-test fit before investing. ## When to trigger - Choosing among possible projects or framings for Cognitive Psychology - A reader said the work feels "one effect," "atheoretical," or "better as a short report" - Deciding whether the contribution needs a formal model, more experiments, or both - A modeling or review project you want to place ## The fit test A strong Cognitive Psychology paper usually clears all four: 1. **Theoretical advance, not an effect.** It changes a theory of cognition — adjudicates between accounts, formalizes a mechanism, or maps a phenomenon's boundary — rather than adding one more demonstration. State the theory it moves. 2. **Integrative scope.** The contribution is carried by a **program** (multiple experiments and/or a model fit to data), not a single study. Each piece must add inference. 3. **Formal/computational backbone where apt.** Cognition here is often expressed as a model that is **fit and compared**; if your account can be formalized, the venue rewards doing so (see `cogpsych-theory-and-hypotheses`). 4. **Reproducible and shareable.** You can deposit data, **model/analysis code**, and materials so the modeling is reproducible (see `cogpsych-open-science-and-transparency`). ## Contribution shape - **Multi-experiment empirical** — a controlled series that jointly constrains a theory (each experiment rules out an alternative or extends scope). - **Experiment + model** — the journal's signature shape: experiments designed to discriminate models, with a formal model fit to the data and compared to rivals. - **Modeling-led** — a new model (or analysis) tested by fitting, model recovery, and comparison against existing or new data. - **Theoretical / integrative review** — a synthesis that delivers a substantive theoretical advance, not a literature catalogue. ## Fit scoring — worked example (illustrative) Score a candidate against the four gates before investing. A recognition-memory project, two framings: ``` Candidate A (off-fit): one N = 40 experiment showing a novel list-length effect, described verbally, no model, request-only data. Theoretical advance ✗ (one effect) Integrative scope ✗ (single study) Formal backbone ✗ (verbal only) Reproducible ✗ (request-only) Verdict: off-fit → either grow into a model-driven program or place as a short report elsewhere. Candidate B (strong): three experiments that separate unequal-variance signal detection from a dual-process account, both models fit and compared, open data + model code. Theoretical advance ✓ (adjudicates two theories) Integrative scope ✓ Formal backbone ✓ (fit + compared) Reproducible ✓ (code deposited) Verdict: strong fit → Experiment + model contribution. ``` ## Contribution-type decision rules | If the work is... | Target shape | Why | |-------------------|--------------|-----| | A controlled series constraining one theory | Multi-experiment empirical | the integrative arc the venue expects | | Experiments that can discriminate formal models | Experiment + model | the journal's signature, highest-impact shape | | A new model tested by fitting + recovery + comparison | Modeling-led | formal contribution to theory | | A synthesis with a genuine theoretical advance | Integrative review | not a catalogue; must reframe the field | | One surprising effect, no theory, no model | wrong venue (reframe) | belongs in a short-report journal | ## Sibling-journal fit guard - **Cognition (Elsevier)** also takes cognition papers but is broader and more effect-/phenomenon-led; Cognitive Psychology skews longer and more model-driven. - **JEP: General (APA)** overlaps but Cognitive Psychology leans harder into formal modeling and the multi-experiment program. - **Psychological Science** wants short, single-finding reports — the opposite length/ambition. - **Journal of Memory and Language** is the natural home for memory/language work that is narrower in scope; bring the integrative-model contribution here. ## Reviewer / editor pushback at the fit stage - "This is one effect" → identify the theory it adjudicates and the further experiments/model that make it a program. - "Atheoretical" → formalize the mechanism; show the model that the experiments test. - "Better as a short report" → if it cannot sustain a long, integrative argument, it is the wrong venue. ## Anti-patterns - A single experiment reporting one isolated effect with no formal/theoretical payoff - A "model" that is only verbal and never fit or compared - A review that catalogues the literature without a theoretical advance - A project whose modeling cannot be reproduced because code/data cannot be shared ## Output format ``` 【Question / phenomenon】one sentence 【Theoretical advance】which theory it moves, and how 【Scope】program of experiments and/or a fitted model? [Y/N] 【Formal backbone】can it be formalized + compared? [Y/N/NA] 【Reproducible】data + model code + materials shareable? [Y/N] 【Type】Multi-experiment / Experiment + model / Modeling-led / Review 【Fit verdict】strong / needs reframing / off-fit (why) 【Next】cogpsych-theory-and-hypotheses ``` ## Supplementary resources - [`../../resources/external_tools.md`](../../resources/external_tools.md) — modeling and model-comparison tooling - [`../../resources/official-source-map.md`](../../resources/official-source-map.md) — scope, article types, and house style