Guides researchers through the full lifecycle of a Psychological Review theory manuscript—from screening idea fit to framing theoretical advances, constructing formal models, deriving predictions, designing diagrams, positioning against rival models, navigating masked peer review, and drafting revision responses.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Use when deriving predictions from a Psychological Review theory and confronting them with existing data and rival models — the journal's substitute for an empirical results section. Develops the argument; it does NOT build the model (psychrev-theory-construction) or set its scope and identifiability limits (psychrev-boundary-conditions).
Use when setting the scope of a Psychological Review theory — what it explains, what it does NOT, and (for formal models) whether its parameters are identifiable. Bounds the theory; it does NOT derive its predictions (psychrev-argument-development) or frame its advance over rivals (psychrev-contribution-framing).
Use when designing the figures of a Psychological Review manuscript — model/architecture diagrams and simulation-of-model-behavior plots (NOT experiments). Builds the exhibits; it does NOT derive the predictions they display (psychrev-argument-development) or set the model's scope (psychrev-boundary-conditions).
Use when articulating the theoretical advance of a Psychological Review manuscript — what the field can explain after the paper that it could not before, stated against the specific prior models it improves on. Frames the contribution; it does NOT build the model (psychrev-theory-construction) or position it in the literature (psychrev-literature-positioning).
Use when locating a Psychological Review manuscript within its theoretical conversation — naming the theories it extends and, above all, the rival models it must beat or subsume. Positions the theory; it does NOT build the model (psychrev-theory-construction) or run the head-to-head prediction contrast (psychrev-argument-development).
English | 简体中文
横跨经管社科 · 人文社科 · 自然科学 · 临床医学 · AI 计算机等多个主流学科,为每一本期刊 / 每一个会议单独编码它的投稿工作流。
🧭 布局指南 · 📚 Skill Pack 一览 · ⚡ 如何使用 · 🗺 路线图 · 🌐 English
先看期刊,再进 Pack。点击任意封面即可进入对应的期刊 Skill 包。
🆕 四个最新学科广度合集 —— 工程技术 40 · 农业环境 30 · 临床医学 30 · 英文人文 36;点击封面进入合集页。
其他合集 · 中文体育学 · 12 本 CSSCI 体育学来源刊
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