joap-theory-and-hypotheses
GitHub专为《应用心理学杂志》(JAP) 论文构建理论模型与假设。强调理论先行,明确机制、层级及方向性假设,严格区分确认性与探索性分析,确保对 I-O 科学的理论贡献,适用于撰写预注册计划或回应审稿人质疑。
Trigger Scenarios
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill joap-theory-and-hypotheses -g -y
SKILL.md
Frontmatter
{
"name": "joap-theory-and-hypotheses",
"description": "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."
}
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
- 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.
- 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, 2-1-1, 2-2-1). JAP reviewers read level-of-analysis sloppiness as a theory error.
- Derive directional hypotheses. Translate the theory into specific, signed, testable predictions; state mediation and moderation as formal hypotheses, not afterthoughts.
- Mark hypothesis status. Separate confirmatory (preregistered / predicted in advance) from exploratory (post hoc) analyses, clearly, in the text.
- Specify what would disconfirm. Say which results count against the theory — this is what makes the test, and the contribution, credible.
What counts as a JAP theoretical contribution
| Contribution type | What it must show |
|---|---|
| New mechanism | a process not previously specified linking established constructs |
| Boundary condition | when/for whom a known effect holds or reverses (a theorized moderator) |
| Integration | two frameworks reconciled to predict something neither does alone |
| Construct work | a clarified, differentiated, or newly measured construct with validity evidence |
| Cross-level model | how a higher-level factor shapes lower-level processes (or emergence upward) |
Worked micro-example — theory to hypothesis status (illustrative)
A servant-leadership package, written so the mechanism, levels, and hypothesis status are legible.
Mechanism: Servant leadership signals safety and worth, building team
psychological safety (social-exchange + safety climate), which
frees members to voice and coordinate, raising team performance.
Levels: Leadership (team, L2) → psychological safety (team, L2) →
performance (team, L2); voice tested as L1 mediator (2-2-2 / 2-1-2).
H1 (confirmatory): Servant leadership relates positively to team performance.
H2 (confirmatory): Team psychological safety mediates H1.
H3 (confirmatory, preregistered in the lab study):
The effect is stronger under high task interdependence (boundary).
Disconfirming: a near-zero indirect effect with a CI spanning zero, or a
reversed safety path, counts against the account — stated up front.
Theory-stage reviewer pushback and the venue fix
| Reviewer pushback | JAP fix |
|---|---|
| "No theoretical contribution" | name the new mechanism/boundary/integration in one sentence before H1 |
| "Level of analysis is muddled" | label every construct's level and the cross-level form (1-1-1, 2-1-1, …) |
| "This looks HARKed" | show the preregistration timestamp; relabel post hoc analyses exploratory |
| "Hypotheses don't follow from the theory" | rebuild each H as a signed deduction from the stated mechanism |
| "Mediation/moderation asserted, not theorized" | give the process reason the indirect/interaction effect should exist |
Theory calibration anchors
- The contribution is the mechanism and its boundary, not the data context — "we tested it in hospitals" is a setting, not a theory advance.
- Level of analysis is theory, not bookkeeping: a cross-level claim needs a cross-level model and a cross-level hypothesis, stated as such.
- The honesty rule is temporal: anything specified before data is confirmatory; anything generated after seeing data is exploratory. Preregistration and the data-transparency appendix make the line visible to masked reviewers.
- Stating what would disconfirm the theory converts a story into a test; an unfalsifiable framing reads as a red flag at JAP.
Anti-patterns
- A "contribution" that is only a new sample/industry for a known effect
- Muddled or unstated level of analysis
- Mediation/moderation hypotheses with no theorized process behind them
- Theory written to fit the result after the fact (HARKing)
- Blurring confirmatory and exploratory hypotheses
Output format
【Mechanism】the I-O process linking the constructs, briefly
【Levels】each construct's level + cross-level form (1-1-1 / 2-1-1 / 2-2-2 …)
【Hypotheses】directional, signed (H1, H2 mediation, H3 moderation …)
【Status】which are confirmatory (preregistered) vs exploratory
【Disconfirming evidence】what would count against the theory
【Next】joap-literature-positioning
Supplementary resources
../../resources/external_tools.md— preregistration templates, theory-mapping and measurement tools../../resources/official-source-map.md— scope and contribution expectations
Version History
- 1839142 Current 2026-07-05 13:26


