Agent skill · Data & Analytics

joap-theory-and-hypotheses

Use when building the theoretical model and hypotheses for a Journal of Applied Psychology (JAP) manuscript. JAP demands a genuine I-O theoretical contribution with an explicit mechanism, directional hypotheses, and a clear confirmatory/exploratory split — theory stated before the data, not after. Structures the argument; it does not run analyses.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill joap-theory-and-hypotheses --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: Journal-of-Applied-Psychology-Skills/skills/joap-theory-and-hypotheses/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Theory & Hypotheses (joap-theory-and-hypotheses) JAP is theory-first. A paper lives or dies on whether it makes a **theoretical contribution to I-O science** — a new **mechanism**, **boundary condition**, **integration of frameworks**, or **construct clarification** — and whether the **hypotheses follow from that theory**. The cardinal honesty rule: **state theory and confirmatory hypotheses before the data**, and label anything generated after seeing data as exploratory. ## When to trigger - Building the theoretical model and deriving hypotheses - Writing a preregistration / pre-analysis plan - Reconciling what you predicted with what you found - A reviewer flagged the work as "atheoretical," "post hoc," "HARKed," or "no contribution" ## Build the argument 1. **Name the mechanism.** What process links X to Y, and why — grounded in I-O theory (e.g., social exchange, conservation of resources, self-determination, JD-R, affective events, justice). The mechanism is the contribution's core, not decoration. 2. **Specify the level(s).** State whether each construct and relationship is at the individual, dyad, team, or organization level, and whether effects are cross-level (e.g., 1-1-1

What's inside
Steps it walks through
  1. When to trigger
  2. Build the argument
  3. What counts as a JAP theoretical contribution
  4. Worked micro-example — theory to hypothesis status (illustrative)
  5. Theory-stage reviewer pushback and the venue fix
  6. Theory calibration anchors
  7. Anti-patterns
  8. Output format
  9. Supplementary resources
More from Awesome-Journal-Skills
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About this skill
What does the joap-theory-and-hypotheses skill do?

Use when building the theoretical model and hypotheses for a Journal of Applied Psychology (JAP) manuscript. JAP demands a genuine I-O theoretical contribution with an explicit mechanism, directional hypotheses, and a clear confirmatory/exploratory split — theory stated before the data, not after. Structures the argument; it does not run analyses.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill joap-theory-and-hypotheses --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going