算法艺术创作
algorithmic-art
通过代码和可调参数创作生成艺术与交互式视觉效果。
joap-tables-figures【设计与创意】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 no…
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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.
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 | 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 |
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.
etable (multi-model columns) or did_summary_to_latex straight from the
result_id.plot_from_result / enhanced_event_study_plot / event_study_table —
axis units and the SE/clustering note baked in.See a full fitted-result → exhibit chain in the JF execution walkthrough.
【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
../../resources/external_tools.md — papaja, semPlot/tidySEM, metafor plots, APA table tooling../../resources/official-source-map.md — APA 7th style and exhibit expectations