asr-data-analysis
Use when executing and reporting the analysis for an American Sociological Review (ASR) manuscript so it survives expert masked review — honest uncertainty, robustness, and evidence handling appropriate to quantitative, demographic, comparative-historical, or computational sociology. Guides analysis norms; it does not fabricate results.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill asr-data-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Data Analysis (asr-data-analysis) ASR reviewers are methodologically demanding across very different traditions. Whether your evidence is regression coefficients, life tables, archival sequences, or coded fieldnotes, the analysis must be transparent, well-documented, and reproducible to the extent your data allow. Design decisions live in `asr-research-design`. ## When to trigger - Running main and supporting analyses; building the results/findings section - A reviewer asked for robustness, heterogeneity, alternative specifications, or more evidence - Documenting how qualitative claims are grounded in the data - Making the analysis reproducible before sharing materials ## Analysis norms ASR expects ### Quantitative / demographic 1. **Report uncertainty and magnitude**, not just significance — intervals and substantive effect sizes; respect survey design (weights, clustering). 2. **Robustness that probes, not decorates** — alternative measures, samples, estimators, and specifications that could *break* the result; say what you learn. 3. **Heterogeneity with discipline** — pre-specify or justify subgroups; adjust for multiple comparisons; don't mine an interaction and theorize it p
- When to trigger
- Analysis norms ASR expects
- Quantitative / demographic
- Comparative-historical / ethnographic
- Computational / text-as-data
- Reproducibility while you work
- What an ASR analyst-reviewer is checking
- Worked micro-example (illustrative numbers)
- Referee pushback → ASR-specific fix
- Calibration anchors
- Execution bridge (StatsPAI / Stata MCP)
- Anti-patterns
- Output format
- Supplementary resources
What does the asr-data-analysis skill do?
Use when executing and reporting the analysis for an American Sociological Review (ASR) manuscript so it survives expert masked review — honest uncertainty, robustness, and evidence handling appropriate to quantitative, demographic, comparative-historical, or computational sociology. Guides analysis norms; it does not fabricate results.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill asr-data-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.