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joap-tables-figures
GitHub用于设计符合APA第7版规范的JAP期刊表格与图表，包括相关矩阵、CFA/SEM路径图、多层模型及元分析图表。强调展示效应量、置信区间和信度，确保内容自包含且清晰可读，不执行实际数据分析。
Trigger Scenarios
设计描述性统计或相关系数表
绘制CFA/SEM路径图或多层结果表
构建元分析森林图或漏斗图
修改审稿人指出的不规范或不清晰的图表
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill joap-tables-figures -g -y
SKILL.md
Frontmatter
{
"name": "joap-tables-figures",
"description": "Use when building tables and figures for a Journal of Applied Psychology (JAP) manuscript in APA 7th-edition style — correlation\/descriptives tables, CFA\/SEM path diagrams, multilevel (HLM) result tables, and meta-analytic forest\/funnel plots. Exhibits must carry effect sizes, CIs, and reliabilities and be self-contained. Designs exhibits; it does not run the analysis."
}
Tables & Figures (joap-tables-figures)
In JAP, exhibits do a lot of the evidentiary work: the means-SD-correlation-reliability table, the path/CFA diagram, the multilevel result table, and (for syntheses) the forest/funnel plot. They follow APA 7th-edition conventions and must be self-contained and consistent with the reported analysis. Good exhibits show effect sizes, confidence intervals, and reliabilities, not just stars.
When to trigger
- Designing the descriptives/correlation table or the main results exhibit
- Drawing a CFA/SEM path diagram or a multilevel result table
- Building a meta-analytic forest/funnel plot
- A reviewer found an exhibit unclear, non-APA, or inconsistent with the text
Principles
- The Table 1 standard. The first table is almost always means, SDs, and the full correlation matrix with reliabilities on the diagonal and level-of-analysis noted. Reviewers scan it for construct distinctness, multicollinearity, and red flags before reading the model.
- Show estimates with uncertainty. Path tables and figures report standardized/unstandardized coefficients with confidence intervals (and fit indices for SEM); report indirect effects with their bootstrap/Monte Carlo CIs.
- Self-contained + APA 7th. Titles, notes, Ns at each level, units, what the error bars/CIs are, and significance conventions make each exhibit intelligible alone; follow APA table/figure format.
- Make the model legible. A path diagram should show the hypothesized structure, levels (L1/L2), standardized estimates, and which paths are significant — not a decorative box-and-arrow sketch.
- Earn the space; defer the rest. Push secondary exhibits (full invariance tables, alternative models, manipulation checks) to online supplemental materials; summarize in one sentence.
- Reproducible + accessible. Generated by the shared analysis script so values match; colorblind- safe and grayscale-legible.
Worked micro-example — the core exhibits (illustrative)
For the servant-leadership package, two exhibits carry the argument.
Table 1. Means, SDs, correlations, reliabilities (team level, k = 74).
Diagonal: ω reliabilities (.91, .88, .87); note ICC(1)/ICC(2) for aggregated vars,
N at L1 and L2, and the significance convention. Self-contained.
Figure 1. Multilevel mediation path model (2-2-2).
Geometry: leadership (L2) → safety (L2) → performance (L2), with the L1
voice mediator shown; standardized estimates + 95% CIs on each path.
Annotate: indirect = .13, 95% CI [.05, .23]; direct path ns; fit indices in note.
Note: defines levels, estimator, Ns at L1/L2, and that intervals are 95% CIs —
readable without the main text.
Source: rendered from the deposited Mplus/R script so values match exactly.
Exhibit triage — article vs. supplemental materials
| Exhibit | Home | Reason |
|---|---|---|
| Descriptives / correlations / reliabilities (Table 1) | main text | reviewers read it first |
| Primary path model with CIs + fit | main text | this is the contribution |
| Measurement-invariance / alternative-model tables | supplement | needed for rigor, not the headline |
| Manipulation / attention-check results | supplement | credibility, not the main claim |
| Robustness / sensitivity grid | supplement | summarized in one main-text sentence |
| Meta-analytic full coding sheet | supplement (deposited) | transparency, not a printed table |
Exhibit-stage reviewer pushback and the venue fix
- "No reliabilities on the diagonal" → add ω/α to Table 1; reviewers check construct distinctness there.
- "Path table reports only betas and stars" → add CIs and fit indices; report the indirect-effect CI.
- "Figure doesn't show levels" → label L1/L2 and the cross-level paths in the diagram.
- "Table 3 doesn't match the text" → regenerate both from the single deposited script.
- "Forest plot has no weights / CI scale" → add study weights, CIs, and the pooled estimate with its CI.
Exhibit calibration anchors
- Table 1 is a credibility signal: a clean, complete descriptives/correlation table with reliabilities reassures reviewers before they reach the model.
- The path figure should let a hurried editor reconstruct the hypotheses, the levels, and the result from the exhibit alone.
- Accessibility is part of rigor: colorblind-safe palettes and grayscale-legible encodings so evidence survives printing and reuse.
Execution bridge (StatsPAI / Stata MCP)
Generate exhibits from the fitted result, not by retyping numbers (the usual source of
body-vs-supplement drift). Full map: execution-with-mcp. JAP is organizational psychology — multilevel survey/field data and experiments; cluster at the right level and apply mediation/moderation discipline.
- Tables:
etable(multi-model columns) ordid_summary_to_latexstraight from theresult_id. - Figures:
plot_from_result/enhanced_event_study_plot/event_study_table— axis units and the SE/clustering note baked in. - Every note names the estimator + clustering and states the effect size in interpretable units.
See a full fitted-result → exhibit chain in the JF execution walkthrough.
Anti-patterns
- A correlation table without reliabilities or level-of-analysis notes
- Path tables/figures reporting only coefficients and stars (no CIs, no fit)
- Path diagrams that hide level of analysis or which paths are significant
- Exhibits requiring the prose to be intelligible (not self-contained)
- Exhibit values that don't match the shared analysis script
Output format
【Table 1】means/SD/correlations + reliabilities + level notes? [Y/N]
【Main exhibit】path model/table with estimates + CIs + fit indices? [Y/N]
【APA 7th + self-contained?】[Y/N]
【Article vs supplement】split decided
【Reproducible + accessible?】matches script, grayscale/colorblind-safe? [Y/N]
【Next】joap-writing-style
Supplementary resources
../../resources/external_tools.md—papaja,semPlot/tidySEM,metaforplots, APA table tooling../../resources/official-source-map.md— APA 7th style and exhibit expectations
Version History
- 1839142 Current 2026-07-05 13:26
