Tables & Figures — APA 7th (jpsp-tables-figures)

JPSP exhibits do heavy lifting because the paper spans many studies: readers navigate the package through your tables and figures. JPSP asks authors to embed tables and figures in the manuscript text, and information in tables does not count toward the word limit — so well-built exhibits both communicate and free up words for the (capped) introduction and discussion.

When to trigger

• Building or revising tables and figures
• Summarizing results across multiple studies
• Producing the internal meta-analysis forest plot
• Formatting exhibits to the APA Publication Manual (7th edition)

What strong JPSP exhibits do

1. Self-contained. Each table/figure is readable without the text: full title, variable definitions, N, units, error bars defined, and notes explaining abbreviations and significance.
2. Carry the multi-study story. A cross-study summary table (effect sizes + CIs per study) and a forest plot for the internal meta-analysis let reviewers see convergence at a glance.
3. Show effects, not just stars. Plot estimates with confidence intervals; for repeated measures use within-subject CIs; show distributions (e.g., raincloud) where they matter.
4. APA 7th formatting. APA table structure (no vertical rules), figure captions and notes, proper statistical notation; SEM path diagrams labeled with standardized coefficients where used.
5. Embedded, not appended. Place each exhibit near its first mention in the text per JPSP rule; keep supplemental-only exhibits in the online supplement with a table of contents.
6. Accessible. Colorblind-safe palettes; legible in grayscale; vector output for print.

Exhibit checklist

• Every exhibit self-contained (title, N, units, error bars, notes)
• Cross-study summary table of effect sizes + CIs
• Forest plot for the internal meta-analysis
• Effect sizes with uncertainty shown, not stars alone
• APA 7th table/figure formatting and notation
• Tables/figures embedded in text; supplements have a table of contents
• Colorblind-safe and grayscale-legible

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. JPSP is predominantly experimental social/personality psychology; randomization inference, mediation done right (mediate, not naive controlling-away), power, and family-wise corrections are decisive.

• 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.

See a full fitted-result → exhibit chain in the JF execution walkthrough.

Anti-patterns

• A separate, near-identical table per study with no integrative summary
• Stars-only tables; error bars whose meaning (SE vs CI vs SD) is undefined
• Figures unreadable in grayscale or to colorblind readers
• Exhibits dumped at the end instead of embedded near first mention
• Tables that duplicate the text instead of compressing it

The two exhibits every JPSP package needs

Because the paper spans studies, two integrative exhibits do disproportionate work and reviewers look for them by name:

Illustrative forest-plot row set (invented): S1 d = 0.34 [0.10, 0.58]; S2 d = 0.21 [−0.02, 0.44]; S3 d = 0.40 [0.16, 0.64]; pooled d = 0.31 [0.18, 0.45]. Plotting these together — each CI as a horizontal bar, the diamond as the pooled estimate — lets a reviewer see S2's wide interval is low power, not disconfirmation. A stars-only table hides exactly that.

Exhibit pass for Journal of Personality and Social Psychology

Treat this skill as an executable review pass, not a prose hint. First lock the construct validity, study sequence, power/robustness plan, and boundary conditions; then judge whether the current manuscript answers the venue's real reader: psychology reviewers who need a theoretical construct, validated measurement, and cumulative-study logic.

• Do the pass: For every table or figure, state the estimand or object, sample or case base, uncertainty display, and one sentence the exhibit proves for the venue audience.
• Return a ledger: give claim / evidence / risk / manuscript location rows, so the next agent can edit rather than rediscover the issue.
• Sibling guard: compare against Psychological Science for shorter general-interest findings, Personality and Social Psychology Bulletin for field scope, Journal of Experimental Social Psychology for experiment-centered claims; if a sibling owns the contribution, recommend re-routing before polishing format.
• Stop condition: do not give submission-ready advice until the pack's resources/official-source-map.md has been checked for volatile rules and the manuscript has one concrete fix for the largest venue-specific risk.

Output format

【Per-study exhibits】list (design-appropriate)
【Cross-study summary】effect-size table present? [Y/N]
【Meta-analysis figure】forest plot present? [Y/N]
【APA 7th formatting】tables/figures + notation compliant? [Y/N]
【Embedded + accessible】in-text + colorblind/grayscale-safe? [Y/N]
【Next】jpsp-writing-style

Supplementary resources

• ../../resources/external_tools.md — papaja/apaTables, ggplot2, metafor forest plots, SEM path diagrams
• ../../resources/official-source-map.md — embedded-exhibits rule and word-count treatment