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Clearing Up Confusion in Political Research Design

Introduction: Selecting appropriate research designs is challenging for political scientists.

Understanding Designs Better: This article offers a framework to formally declare key analytical components of any study. It defines four critical elements: Model (M), Inquiry (I), Data Strategy (D), and Answer Strategy (A).

New Tools for Diagnosis: By declaring these features, researchers can use Monte Carlo methods to assess design properties before conducting the actual analysis.

Practical Advantages: Ex ante declarations help improve designs during planning stages through preregistration. They facilitate transparency in reporting actual analyses versus intended ones and support reconciliation efforts.

Ex Post Usefulness: Even after research is completed, ex post declaration helps document existing studies clearly for sharing purposes or enabling reanalyses by others.

Key Takeaway: This approach provides a systematic way to understand both one's own design strengths and limitations.

American Political Science Review
Declaring and Diagnosing Research Designs was authored by Graeme Blair, Jasper Cooper, Alexander Coppock and Macartan Humphreys. It was published in APSR in 2019. Find on Google Scholar10.1017/S0003055419000194
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