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Clearing Up Confusion in Political Research Design


Research Design Framework
Monte Carlo Techniques
Analytical Features
Diagnosands
Preregistration
Methodology
APSR
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Declaring and Diagnosing Research Designs was authored by Graeme Blair, Jasper Cooper, Alexander Coppock and Macartan Humphreys. It was published by Cambridge in APSR in 2019.

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.

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