agentsclimarketplace

Revedres transparency and reproducibility

Skill brycewang-stanford/Awesome-Journal-Skills/Review-of-Educational-Research-Skills/skills/revedres-transparency-and-reproducibility

Use when settling coding reliability, open materials, PRISMA/MARS reporting, and a reproducible meta-analysis for a Review of Educational Research (RER) manuscript. Makes the review auditable and re-runnable; it does not run the substantive robustness analyses (revedres-comprehensiveness-and-balance) or design the exhibits (revedres-tables-figures).From its SKILL.md

Install
npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill revedres-transparency-and-reproducibility

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

5.0 KB, ~1.1k tokens by cl100k_base, as published. Nobody here has run it

Transparency & Reproducibility (revedres-transparency-and-reproducibility)

When to trigger

  • The analysis is done and you must make the review auditable and re-runnable
  • Coding reliability has not been quantified or reported
  • You have not decided what search files, codebook, data, or scripts to share
  • A reviewer is likely to ask "could someone reproduce this synthesis from what you report?"

Why transparency IS the contribution at RER

Because RER reviews are submitted and peer-reviewed (not invited), a reader cannot take the synthesis on the author's authority — they must be able to check it. The credibility of a systematic review or meta-analysis is exactly the credibility of its process documentation: the search, the screening, the coding, and the analysis must be reported so completely that an independent reader could, in principle, re-run them and land in the same place. This is not an appendix afterthought; it is the spine of the review's claim to be systematic.

Reporting standards RER points to

RER directs authors of systematic reviews and meta-analyses to specific reporting standards (检索于 2026-06;以官网为准):

  • PRISMA — the systematic-review/meta-analysis reporting checklist and flow diagram. Report against every applicable item; include the flow diagram (see revedres-tables-figures).
  • APA "Reporting Standards for Research in Psychology" (the JARS family, incl. MARS for meta-analyses) — RER's submission guidance cites the American Psychologist reporting-standards article. Use MARS to ensure the meta-analysis reports its eligibility, search, coding, effect-size metric, model, and heterogeneity/bias analyses completely.
  • PRISMA-P for the protocol (see revedres-proposal-and-commissioning); PROSPERO/OSF registration cited.

Coding reliability: report it, don't assert it

  1. Double-code a defined share of studies (or all), independently.
  2. Quantify agreement with the appropriate statistic — Cohen's/Fleiss' κ for categorical codes, ICC for continuous extractions — and report the value, not just "two coders agreed."
  3. State conflict resolution (consensus, third coder) and re-check after disagreements.
  4. Provide the codebook so a reader knows exactly what was coded and how.

Open materials: make the synthesis re-runnable

  • Share the search artifacts: full strings per database, dates, and the screening decisions/PRISMA counts.
  • Share the coding dataset and codebook (de-identified as needed) on OSF or a repository, with a DOI.
  • Share the analysis code (R metafor/meta, Stata meta, or Python) so the pooled estimates, moderators, and bias diagnostics are reproducible from the shared data.
  • Distinguish preregistered from exploratory analyses, and flag/justify every deviation from the protocol.
  • Note: RER publishes no original empirical data of yours; the open-materials obligation is on the review's own search, coding, and synthesis — your reproducible contribution.

Checklist

  • PRISMA checklist + flow diagram completed (systematic/meta)
  • MARS / APA reporting standards walked for a meta-analysis
  • Protocol registration (PROSPERO/OSF) cited; deviations flagged and justified
  • Inter-coder reliability quantified (κ/ICC) and reported, not asserted
  • Codebook included; conflict-resolution procedure stated
  • Search strings, dates, and screening counts reported in full
  • Coding dataset + analysis code shared (OSF/repository, with DOI) where possible
  • Preregistered vs. exploratory analyses clearly distinguished

Anti-patterns

  • "Two coders agreed" with no κ/ICC value (unauditable reliability)
  • A meta-analysis whose model, weights, or effect-size metric a reader cannot reconstruct
  • Search strings paraphrased, not reported verbatim per database
  • Silent deviations from the registered protocol
  • Treating open materials as optional polish rather than the basis of the systematic claim
  • Sharing nothing because "it's only a review" — the review's own process is the data

Output format

【PRISMA】checklist + flow complete? Y/N
【MARS/JARS】meta-analysis reporting standards walked? Y/N
【Registration】PROSPERO/OSF cited; deviations flagged? Y/N
【Coder reliability】κ/ICC value reported = <value>; conflict resolution stated? Y/N
【Codebook】included? Y/N
【Search artifacts】strings + dates + screening counts reported in full? Y/N
【Open materials】dataset + code shared (DOI)? Y/N
【Preregistered vs exploratory】distinguished? Y/N
【Next step】→ revedres-editor-strategy (scope negotiation + reviewer expectations)

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.