jppm-methods
Use when choosing and designing the evidence for a Journal of Public Policy & Marketing (JPP&M) manuscript — experiments with policy-realistic stimuli, quasi-experimental policy evaluation (DiD, RDD, synthetic control), surveys, field data, or meta-analysis. Designs the studies; it does not estimate them (jppm-data-analysis).
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jppm-methods --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.
# Methods & Evaluation Design (jppm-methods) ## When to trigger - Deciding whether the question needs an experiment, a policy evaluation, a survey, or a synthesis - A policy rolled out and you must find a credible counterfactual before claiming impact - Your label/disclosure experiment uses stimuli no agency could ever mandate - The sample excludes the very population the policy is meant to protect - You are combining lab and field evidence and need the pieces to carry distinct weight ## Methodological pluralism, disciplined by the policy question JPP&M accepts a wider methods palette than most marketing journals — randomized experiments, quasi-experimental evaluation, surveys, field and archival data, meta-analysis, qualitative work — but the choice must follow from the **policy inference** required. Two questions dominate: *Would the proposed instrument work?* (prospective — usually experiments with realistic stimuli) and *Did the enacted instrument work?* (retrospective — evaluation designs with explicit counterfactuals). A submission that answers the retrospective question with before/after trends, or the prospective one with fantasy stimuli, fails regardless of statistical pol
- When to trigger
- Methodological pluralism, disciplined by the policy question
- Prospective designs: policy-realistic experiments
- Retrospective designs: evaluation with a counterfactual
- Surveys, qualitative work, and synthesis
- Checklist
- Anti-patterns
- Output format
What does the jppm-methods skill do?
Use when choosing and designing the evidence for a Journal of Public Policy & Marketing (JPP&M) manuscript — experiments with policy-realistic stimuli, quasi-experimental policy evaluation (DiD, RDD, synthetic control), surveys, field data, or meta-analysis. Designs the studies; it does not estimate them (jppm-data-analysis).
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jppm-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.