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.
Instrucciones de origen · Vista previa de solo lectura
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
"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) 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.
