cognitive-psychology-skills

Plugin cognitive-psychology-skills from marketplace awesome-journal-skills in brycewang-stanford/Awesome-Journal-Skills. Commands read from the repo's manifest — 1 month ago.

Skills (12)

• cogpsych-data-analysis

  Use when analyzing data and fitting/comparing models for a Cognitive Psychology (Elsevier) manuscript. The journal expects principled model fitting and comparison (AIC/BIC/Bayes factors), parameter and model recovery, (generalized) linear mixed models or hierarchical Bayesian estimation where apt, a

• cogpsych-literature-positioning

  Use when positioning a Cognitive Psychology (Elsevier) manuscript against the field, especially against rival models and prior empirical programs. In a long-form, model-driven venue, positioning means showing what theoretical question your model adjudicates and why prior accounts fall short. Stakes

• cogpsych-open-science-and-transparency

  Use when meeting Cognitive Psychology (Elsevier) open-science expectations — sharing data, model code, analysis scripts, and materials so the modeling is reproducible, depositing in repositories with persistent identifiers, completing the Elsevier research-data and competing-interest declarations, a

• cogpsych-rebuttal

  Use when writing the response to a Cognitive Psychology (Elsevier) major/minor revision. Reviews here often demand added experiments, more model comparisons, recovery analyses, or fuller reproducibility, so the response must address every point and strengthen the model-driven inference. Structures t

• cogpsych-review-process

  Use when you need to understand how Cognitive Psychology (Elsevier) evaluates a manuscript — editorial triage for theoretical impact and fit, expert review weighing model rigor, recovery, design, and reproducibility, and the long revision cycles typical of a model-driven journal. Use when stress-tes

• cogpsych-study-design

  Use when designing the experiments for a Cognitive Psychology (Elsevier) manuscript so they tightly control confounds, discriminate competing models, and have adequate power across a multi-experiment program. Hardens stimulus construction, counterbalancing, design logic, and sample-size justificatio

• cogpsych-submission

  Use when running the final pre-submission preflight for Cognitive Psychology (Elsevier) via Editorial Manager — scope/length fit, abstract and keywords, APA-style reporting, model-comparison completeness, reproducible model/analysis code, and the Elsevier research-data and competing-interest declara

• cogpsych-tables-figures

  Use when building tables and figures for a Cognitive Psychology (Elsevier) manuscript. Exhibits here carry the experiment-to-model-fit argument — they should overlay model predictions on data, show distributions and uncertainty, and report parameter estimates, not just bars of means. Designs exhibit

• cogpsych-theory-and-hypotheses

  Use when stating the theory, formalizing the model, and deriving predictions for a Cognitive Psychology (Elsevier) manuscript. The journal rewards a formal/computational account whose parameters mean something and whose predictions discriminate it from rivals. Structures the theory and the model tha

• cogpsych-topic-selection

  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-the

• cogpsych-workflow

  Use when starting or navigating any Cognitive Psychology (Elsevier) manuscript and you are unsure which sub-skill applies. Use when choosing among manuscript types or returning with a decision letter. Routes by lifecycle stage and contribution type (multi-experiment empirical, experiment-plus-model,

• cogpsych-writing-style

  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

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