Agent skill · Code Review & Quality

asr-research-design

Use when defending the research design of an American Sociological Review (ASR) manuscript — causal/observational inference for quantitative and demographic work, case selection and comparison for comparative-historical work, site and informant logic for ethnography, and network/computational designs. ASR judges each tradition on its own terms. Strengthens the design; it does not write code.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill asr-research-design --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Path: American-Sociological-Review-Skills/skills/asr-research-design/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Research Design (asr-research-design) ASR welcomes many methods but is exacting about each. The design must credibly link the argument (`asr-theory-building`) to evidence and rule out the leading alternative. Pick the section matching your method. ## When to trigger - Specifying identification, case selection, sampling, or site/informant logic - A reviewer questioned causal claims, generalization, selection, or a confound - Justifying why your design adjudicates the rival account from `asr-literature-positioning` ## Quantitative / demographic - **Be honest about what the design identifies.** Much of sociology is observational; distinguish description, association, and causation. If causal, state the assumptions (ignorability, parallel trends, exclusion) and defend them. - **Designs**: panel/fixed-effects, DID/event study (modern staggered estimators, not naive TWFE), IV, RDD, matching/weighting with balance and sensitivity; decomposition for inequality; event history for timing; age-period-cohort for demographic change. - **Inference & sampling**: respect complex survey design (weights, clustering, strata); cluster at the right level; report uncertainty. - **Sensitivity**: how st

What's inside
Steps it walks through
  1. When to trigger
  2. Quantitative / demographic
  3. Comparative-historical
  4. Ethnographic / interview
  5. Network / computational
  6. The adjudication test (ASR-specific)
  7. What ASR referees demand of each design
  8. Worked micro-example (illustrative)
  9. Referee pushback → ASR-specific fix
  10. Calibration anchors
  11. Execution bridge (StatsPAI / Stata MCP)
  12. Anti-patterns
  13. Output format
  14. Supplementary resources
More from Awesome-Journal-Skills
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About this skill
What does the asr-research-design skill do?

Use when defending the research design of an American Sociological Review (ASR) manuscript — causal/observational inference for quantitative and demographic work, case selection and comparison for comparative-historical work, site and informant logic for ethnography, and network/computational designs. ASR judges each tradition on its own terms. Strengthens the design; it does not write code.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill asr-research-design --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.

Keep going