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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).
Journal-of-Public-Policy-and-Marketing-Skills/skills/jppm-methods/SKILL.md
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# 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 polish. Missing counterfactual reasoning in an evaluation design is one of this journal's known desk-reject patterns.