跳到主要内容
知仓学习社ZHICANG

poq-tables-figures

Use when building tables and figures for a Public Opinion Quarterly (POQ) manuscript so exhibits are self-contained, accessible, and show survey-bas…

不碰外部(只输出文字)无严重或高危命中brycewang-stanford/Awesome-Journal-Skills

它会碰到什么

扫了多少1 个文本文件,6 KB
它会碰到什么不碰外部(只输出文字)
命中总数0 处
命中统计严重 0 · 高 0 · 中 0 · 低 0

这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。

技能内容

Tables & Figures (poq-tables-figures)

Exhibits are where an expert reviewer checks whether the survey result is real. At POQ the word caps

count text and notes but exclude figures, tables, references, and appendices — so exhibits do not

eat your budget, but they must be honest about design-based uncertainty, weighting, and the base N

behind every estimate.

When to trigger

  • Designing the main results table/figure or a key descriptive/trend exhibit
  • Deciding what belongs in the article vs. an appendix
  • A reviewer found an exhibit unclear, mislabeled, or missing its base/weighting note
  • Presenting opinion trends, subgroup differences, or experimental treatment effects

Principles

  1. Self-contained. A reader should understand each exhibit from its title, labels, and note alone —

state the **base N (weighted/unweighted), the population, the question wording (or short form), the

mode, and the uncertainty measure** (CI / margin of error).

  1. Show survey uncertainty. Report confidence intervals or margins of error from design-based

estimates; never plot a point estimate with no uncertainty. Note if estimates are weighted.

  1. Figures over dense tables for effects. Trend lines with uncertainty bands, coefficient/forest

plots with design-based SEs, conjoint AMCE plots, predicted-probability plots communicate magnitude

and uncertainty better than a wall of coefficients.

  1. Accessible. Colorblind-safe palettes; legible in grayscale; no chartjunk, no 3D. Reviewers must

parse it quickly.

  1. Reproducible. Each exhibit is generated by the master script; numbers match the deposited

replication package exactly (POQ re-runs it — see poq-transparency-and-data-policy).

POQ-specific exhibits

  • Opinion trend lines with uncertainty bands; mark wording/mode breaks in the series.
  • Weighted vs. unweighted overlays where weighting matters to the read.
  • Conjoint AMCE plots; survey-experiment treatment-effect plots with design-based intervals.
  • A disclosure-friendly methods table summarizing population, mode, dates, N, and response rate

(links to Appendix A — see poq-survey-design-and-measurement).

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](../../../shared-resources/empirical-methods/execution-with-mcp.md). Public Opinion Quarterly is survey methodology and public opinion; the chain serves causal/experimental claims, while survey-design and measurement contributions use their own standards (sampling, weighting, measurement error).

  • 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](../../../Journal-of-Finance-Skills/resources/worked-examples/02-execution-walkthrough.md).

Anti-patterns

  • A point estimate or trend line with no interval / margin of error
  • Tables that omit the base N or hide whether estimates are weighted
  • Exhibits that require the prose to be intelligible (not self-contained)
  • Color-only encoding that fails in grayscale or for colorblind readers
  • Exhibit numbers/values that don't match the deposited code output

Exhibit pass for Public Opinion Quarterly

Run this as a concrete capability pass. First lock the public-opinion construct, sampling frame, mode effects, weighting/nonresponse plan, and trend or causal interpretation; then test whether the manuscript addresses survey and public-opinion reviewers who inspect measurement, sampling, mode, nonresponse, and inference about attitudes or behavior.

  • Primary move: For every table or figure, state the object, sample/case base, uncertainty display, and one sentence the exhibit proves for this venue.
  • Decision ledger: return claim / evidence / blocker / next edit rows so the next pass can patch the manuscript directly.
  • Sibling comparison: compare against Political Analysis for methods-first work, Journal of Politics for political-science theory, Communication Research for media-effects framing; if the neighboring outlet has the stronger audience claim, recommend re-routing before polishing.
  • Verification floor: before submission-ready advice, re-open resources/official-source-map.md for volatile rules and name the one unresolved fact that could change the recommendation.

Output format

【Main exhibit】what it shows + why a figure/table
【Self-contained?】title + labels + note + base N + wording/mode? [Y/N]
【Uncertainty shown?】CI / MOE from design-based estimates? [Y/N]
【Weighting noted?】weighted vs unweighted clear? [Y/N]
【Accessible?】grayscale-legible + colorblind-safe? [Y/N]
【Reproducible?】generated by master script, matches package? [Y/N]
【Next】poq-writing-style

Supplementary resources

  • [../../resources/external_tools.md](../../resources/external_tools.md) — plotting tools for trends, AMCE, and design-based intervals
  • [../../resources/official-source-map.md](../../resources/official-source-map.md) — word-count rule (excludes figures/tables/appendices)

想直接用这个技能?

本站把开放许可(MIT / Apache 等)的技能按仓库打包整理到网盘,点一下转存到你自己的网盘,不用一个个从 GitHub 拉。许可未声明的技能只给原始仓库链接,不打包。