Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/202031
Authors: 
Blair, Graeme
Cooper, Jasper
Coppock, Alexander
Humphreys, Macartan
Year of Publication: 
2019
Citation: 
[Journal:] American Political Science Review [ISSN:] 1537-5943 [Publisher:] Cambridge University Press [Place:] Cambridge [Volume:] 113 [Year:] 2019 [Issue:] 3 [Pages:] 838-859
Abstract: 
Researchers need to select high-quality research designs and communicate those designs clearly to readers. Both tasks are difficult. We provide a framework for formally “declaring” the analytically relevant features of a research design in a demonstrably complete manner, with applications to qualitative, quantitative, and mixed methods research. The approach to design declaration we describe requires defining a model of the world (M), an inquiry (I), a data strategy (D), and an answer strategy (A). Declaration of these features in code provides sufficient information for researchers and readers to use Monte Carlo techniques to diagnose properties such as power, bias, accuracy of qualitative causal inferences, and other “diagnosands.” Ex ante declarations can be used to improve designs and facilitate preregistration, analysis, and reconciliation of intended and actual analyses. Ex post declarations are useful for describing, sharing, reanalyzing, and critiquing existing designs. We provide open-source software, DeclareDesign, to implement the proposed approach.
Persistent Identifier of the first edition: 
Creative Commons License: 
https://creativecommons.org/licenses/by/4.0/
Document Type: 
Article
Document Version: 
Published Version

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