Individual skill
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).
Research-Policy-Skills/skills/respol-methods/SKILL.md
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# 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.
