Use when exhibits are the bottleneck for a Journal of Management (JOM) manuscript — the means/SD/correlation table, CFA/SEM and HLM result tables, the theoretical-model figure, interaction plots, and meta-analytic forest/funnel plots, all in APA style and under the 50-page guillotine. Builds exhibits; it does not run the analysis (jmgmt-data-analysis).
The descriptive/correlation table is missing, mislabeled, or inconsistent with the text
A SEM/HLM table is dense and a reviewer cannot find the focal effect
An interaction is claimed but never plotted
A meta-analysis lacks a forest plot or a publication-bias funnel
Exhibits are eating into the 50-page (inclusive) budget and need to be tightened
The exhibits a JOM paper is expected to carry
JOM follows APA (7th) style, and reviewers (many of them methodologists) expect a conventional, scannable exhibit set:
Table 1 — Means, SDs, reliabilities, and correlations. Variables in a sensible order; reliabilities (α/ω) on the diagonal; significance shown but always paired with the values; full Ns and a clear note. This is the most-read table; errors here cost credibility.
Measurement-model table (CFA). Standardized loadings, CR/ω, AVE, and a discriminant-validity panel (AVE vs. squared correlations or HTMT).
Hypothesis-test table (SEM/HLM/regression). Steps/models in columns; the focal coefficients visually findable; effect sizes (ΔR²/f²) and CIs reported, not just stars.
Theoretical-model figure. Boxes and arrows mapping one-to-one to the hypotheses, with hypothesis labels (H1, H2…) on the paths — it should be readable without the text.
Interaction plot(s). Simple slopes at ±1 SD with axes labeled in construct terms; a region-of-significance band where useful.
(Meta-analysis) forest plot + funnel/PET-PEESE plot and a moderator table reporting k, N, corrected effects, CIs, and credibility intervals.
House-style and significance conventions
APA significance notation is permitted (* p<.05, ** p<.01, *** p<.001), but always report the coefficient/effect size and ideally a CI — stars alone are not evidence of magnitude, and JOM methods reviewers say so.
Each table is self-contained: full variable names (no undefined abbreviations), Ns, the estimator, and what the cells are (b, β, OR, r).
Figures must be legible in grayscale and at print size; do not encode meaning in color alone.
Working under the 50-page guillotine
Because the 50-page limit counts tables and figures (检索于 2026-06;以官网为准), every exhibit competes with text. Tactics: merge the descriptives and correlations into one Table 1; move secondary robustness tables and the full CFA item list to the online supplement; keep only exhibits that carry a hypothesis test or the model itself in the main paper. Cut any table the text fully narrates.
Reading exhibits the way a JOM methods reviewer does
A methodologically literate reviewer scans the exhibits before the prose to sanity-check the claims. They will: (a) confirm the diagonal of Table 1 carries reliabilities and that no inter-construct correlation is so high it threatens discriminant validity; (b) check that the squared focal correlation is consistent with the structural coefficient (a large path with a near-zero correlation is a red flag); (c) verify the hypothesis table's degrees of freedom and N match the sample described in methods; and (d) confirm every interaction in the hypothesis table also appears as a plot. Build exhibits anticipating exactly this scan, so the numbers cross-validate each other.
Meta-analysis exhibits specifically
For a JOM meta-analysis the exhibits are the evidence. The moderator table should report, per moderator level: k, total N, the artifact-corrected mean effect, its 95% CI, the 80% credibility interval, and a heterogeneity statistic (I² or Q). A forest plot orders effects so the reader sees the spread; a funnel plot (with trim-and-fill or PET-PEESE overlay) shows the bias picture. Tie each moderator row back to the competing theory it tests, so the table reads as a theory adjudication rather than a coefficient list.
The theoretical-model figure as the paper's spine
In a JOM empirical paper the model figure is the single most consulted exhibit: reviewers use it to check that the hypotheses, the methods, and the results all line up. Draw it so the antecedent, mechanism (mediator), moderator, and outcome are each a labeled box; put the hypothesis number on each path; and show the moderator entering on the path it is theorized to qualify, not floating beside it. If a path in the figure has no corresponding hypothesis, or a hypothesis has no path, a reviewer will read it as sloppiness about the theory. Keep control variables out of the figure.
Execution bridge (StatsPAI / Stata MCP)
Generate exhibits from the fitted result, not by retyping numbers (the usual source of
body-vs-appendix drift). Full map: execution-with-mcp. Journal of Management covers empirical management broadly (including meta-analysis); the chain below serves primary causal / panel work.
Tables:etable (multi-model columns) or did_summary_to_latex straight from the
result_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.
1---2name: jmgmt-tables-figures3description: Use when exhibits are the bottleneck for a Journal of Management (JOM) manuscript — the means/SD/correlation table, CFA/SEM and HLM result tables, the theoretical-model figure, interaction plots, and meta-analytic forest/funnel plots, all in APA style and under the 50-page guillotine. Builds exhibits; it does not run the analysis (jmgmt-data-analysis).4---567# Tables & Figures (jmgmt-tables-figures)89## When to trigger1011- The descriptive/correlation table is missing, mislabeled, or inconsistent with the text12- A SEM/HLM table is dense and a reviewer cannot find the focal effect13- An interaction is claimed but never plotted14- A meta-analysis lacks a forest plot or a publication-bias funnel15- Exhibits are eating into the **50-page (inclusive)** budget and need to be tightened1617## The exhibits a JOM paper is expected to carry1819JOM follows **APA (7th)** style, and reviewers (many of them methodologists) expect a conventional, scannable exhibit set:20211. **Table 1 — Means, SDs, reliabilities, and correlations.** Variables in a sensible order; reliabilities (α/ω) on the diagonal; significance shown but always paired with the values; full Ns and a clear note. This is the most-read table; errors here cost credibility.222. **Measurement-model table (CFA).** Standardized loadings, CR/ω, AVE, and a discriminant-validity panel (AVE vs. squared correlations or HTMT).233. **Hypothesis-test table (SEM/HLM/regression).** Steps/models in columns; the *focal* coefficients visually findable; effect sizes (ΔR²/f²) and CIs reported, not just stars.244. **Theoretical-model figure.** Boxes and arrows mapping **one-to-one** to the hypotheses, with hypothesis labels (H1, H2…) on the paths — it should be readable without the text.255. **Interaction plot(s).** Simple slopes at ±1 SD with axes labeled in construct terms; a region-of-significance band where useful.266. **(Meta-analysis) forest plot + funnel/PET-PEESE plot** and a moderator table reporting k, N, corrected effects, CIs, and credibility intervals.2728## House-style and significance conventions2930- APA significance notation is permitted (* p<.05, ** p<.01, *** p<.001), but **always report the coefficient/effect size and ideally a CI** — stars alone are not evidence of magnitude, and JOM methods reviewers say so.31- Each table is self-contained: full variable names (no undefined abbreviations), Ns, the estimator, and what the cells are (b, β, OR, r).32- Figures must be legible in grayscale and at print size; do not encode meaning in color alone.3334## Working under the 50-page guillotine3536Because the **50-page limit counts tables and figures** (检索于 2026-06;以官网为准), every exhibit competes with text. Tactics: merge the descriptives and correlations into one Table 1; move secondary robustness tables and the full CFA item list to the **online supplement**; keep only exhibits that carry a hypothesis test or the model itself in the main paper. Cut any table the text fully narrates.3738## Reading exhibits the way a JOM methods reviewer does3940A methodologically literate reviewer scans the exhibits *before* the prose to sanity-check the claims. They will: (a) confirm the diagonal of Table 1 carries reliabilities and that no inter-construct correlation is so high it threatens discriminant validity; (b) check that the squared focal correlation is consistent with the structural coefficient (a large path with a near-zero correlation is a red flag); (c) verify the hypothesis table's degrees of freedom and N match the sample described in methods; and (d) confirm every interaction in the hypothesis table also appears as a plot. Build exhibits anticipating exactly this scan, so the numbers cross-validate each other.4142## Meta-analysis exhibits specifically4344For a JOM meta-analysis the exhibits *are* the evidence. The moderator table should report, per moderator level: **k, total N, the artifact-corrected mean effect, its 95% CI, the 80% credibility interval, and a heterogeneity statistic (I² or Q)**. A forest plot orders effects so the reader sees the spread; a funnel plot (with trim-and-fill or PET-PEESE overlay) shows the bias picture. Tie each moderator row back to the competing theory it tests, so the table reads as a theory adjudication rather than a coefficient list.4546## The theoretical-model figure as the paper's spine4748In a JOM empirical paper the model figure is the single most consulted exhibit: reviewers use it to check that the hypotheses, the methods, and the results all line up. Draw it so the antecedent, mechanism (mediator), moderator, and outcome are each a labeled box; put the hypothesis number on each path; and show the moderator entering on the path it is theorized to qualify, not floating beside it. If a path in the figure has no corresponding hypothesis, or a hypothesis has no path, a reviewer will read it as sloppiness about the theory. Keep control variables out of the figure.4950## Execution bridge (StatsPAI / Stata MCP)5152Generate exhibits from the fitted result, not by retyping numbers (the usual source of53body-vs-appendix drift). Full map: [`execution-with-mcp`](../../../shared-resources/empirical-methods/execution-with-mcp.md). Journal of Management covers empirical management broadly (including meta-analysis); the chain below serves primary causal / panel work.5455- **Tables:** `etable` (multi-model columns) or `did_summary_to_latex` straight from the56 `result_id`.57- **Figures:** `plot_from_result` / `enhanced_event_study_plot` / `event_study_table` —58 axis units and the SE/clustering note baked in.59- **Every note** names the estimator + clustering and states the effect size in60 interpretable units.6162See a full fitted-result → exhibit chain in the [JF execution walkthrough](../../../Journal-of-Finance-Skills/resources/worked-examples/02-execution-walkthrough.md).63## Checklist6465- [ ] Table 1 has means, SDs, reliabilities on the diagonal, correlations, Ns, and a clean note66- [ ] CFA table reports loadings, CR/ω, AVE, and discriminant validity67- [ ] Hypothesis table makes focal effects findable; effect sizes/CIs present, not stars alone68- [ ] Theoretical-model figure maps one-to-one to hypotheses, labeled H1…Hk69- [ ] Every claimed interaction has a simple-slopes plot70- [ ] (Meta) forest + funnel/bias plot + moderator table present71- [ ] APA 7th formatting; exhibits legible in grayscale; no color-only encoding72- [ ] Exhibit set fits the 50-page budget; secondary tables in the supplement7374## Anti-patterns7576- **A correlation table that disagrees with the text** (different Ns, signs, or values)77- **Reliabilities missing** from the diagonal of Table 178- **Stars without magnitudes** — a hypothesis table of asterisks and no effect sizes79- **A model figure that does not match the hypotheses** (extra/missing paths)80- **An interaction asserted but never plotted**81- **Color-dependent figures** that vanish in grayscale82- **Exhibit bloat** that pushes the paper over 50 pages instead of using the supplement8384## Output format8586```87【Table 1】means/SD/reliabilities(diag)/correlations/N + note? [Y/N]88【CFA table】loadings/CR-ω/AVE/discriminant? [Y/N]89【Hypothesis table】focal effects findable; effect sizes + CIs? [Y/N]90【Model figure】one-to-one with H1…Hk, labeled? [Y/N]91【Interaction plots】every interaction plotted? [Y/N]92【Meta exhibits】forest + funnel + moderator table? [Y/N/NA]93【APA + grayscale + 50pp budget】compliant? [Y/N]94【Next step】jmgmt-writing-style95```9697---9899**Source:** [`brycewang-stanford/Awesome-Journal-Skills`](https://github.com/brycewang-stanford/Awesome-Journal-Skills) → `Journal-of-Management-Skills/skills/jmgmt-tables-figures/SKILL.md`
Run npx skillmds add thedixitjain/jmgmt-tables-figures in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.
Use when exhibits are the bottleneck for a Journal of Management (JOM) manuscript — the means/SD/correlation table, CFA/SEM and HLM result tables, the theoretical-model figure, interaction plots, and meta-analytic forest/funnel plots, all in APA style and under the 50-page guillotine. Builds exhibits; it does not run the analysis (jmgmt-data-analysis). It is listed under AI & ML on SkillMD.
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thedixitjain (@thedixitjain) published this skill. Their other Agent Skills are listed on their SkillMD profile.