Agent skill · Data & Analytics

respol-methods

Use when research design, identification, or measurement is the bottleneck for a Research Policy (RP) manuscript — choosing and defending a method (patent/bibliometric, causal policy evaluation, survey, case study, or mixed) appropriate to an innovation-studies claim. Sets the design; it does not execute the estimation/coding (respol-data-analysis).

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill respol-methods --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: Research-Policy-Skills/skills/respol-methods/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

# Methods (respol-methods) ## When to trigger - The design is a default (OLS + controls, or a single case) and a referee questions whether it can support the claim - A patent or bibliometric indicator is used as if it transparently measures "innovation" or "knowledge" - A policy-evaluation paper rests on before/after comparison without an identification strategy - A survey reports correlations vulnerable to common-method bias or selection - A mixed-methods paper is really two studies stapled together with no integration logic ## The Research Policy methods bar: pluralism with construct discipline RP privileges **no single technique** — econometrics, bibliometrics/patent analysis, surveys, case studies, and mixed methods are all first-class — but it demands that the method *fit the innovation-studies claim* and that **constructs be defended**. The recurring RP failure is not weak statistics; it is treating an indicator (patents, citations, R&D spend) as if it were the latent thing (invention, knowledge flow, innovation effort). State what each measure does and does not capture, and design around its known biases. ## Design paths by method ### Patent / bibliometric quantitative - **C

What's inside
Steps it walks through
  1. When to trigger
  2. The Research Policy methods bar: pluralism with construct discipline
  3. Design paths by method
  4. Patent / bibliometric quantitative
  5. Causal policy evaluation (R&D subsidies, missions, IP reform)
  6. Survey (firm innovation behavior, CIS-style)
  7. Case study / qualitative
  8. Mixed methods
  9. Execution bridge (StatsPAI / Stata MCP)
  10. Checklist
  11. Anti-patterns
  12. Output format
More from Awesome-Journal-Skills
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About this skill
What does the respol-methods skill do?

Use when research design, identification, or measurement is the bottleneck for a Research Policy (RP) manuscript — choosing and defending a method (patent/bibliometric, causal policy evaluation, survey, case study, or mixed) appropriate to an innovation-studies claim. Sets the design; it does not execute the estimation/coding (respol-data-analysis).

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill respol-methods --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