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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: Declaring and Diagnosing Research Designs |
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Identification Number: |
doi:10.7910/DVN/XYT1VB |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2019-05-31 |
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Version: |
1 |
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Bibliographic Citation: |
Blair, Graeme; Cooper, Jasper; Coppock, Alexander; Humphreys, Macartan, 2019, "Replication Data for: Declaring and Diagnosing Research Designs", https://doi.org/10.7910/DVN/XYT1VB, Harvard Dataverse, V1 |
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Citation |
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Title: |
Replication Data for: Declaring and Diagnosing Research Designs |
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Identification Number: |
doi:10.7910/DVN/XYT1VB |
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Authoring Entity: |
Blair, Graeme (UCLA) |
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Cooper, Jasper (Princeton University) |
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Coppock, Alexander (Yale University) |
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Humphreys, Macartan (Columbia University and WZB, Berlin) |
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Distributor: |
Harvard Dataverse |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Blair, Graeme |
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Depositor: |
Blair, Graeme |
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Date of Deposit: |
2019-02-09 |
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Holdings Information: |
https://doi.org/10.7910/DVN/XYT1VB |
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Study Scope |
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Keywords: |
Social Sciences |
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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. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
This dataset not to be distributed/posted outside of the Harvard Dataverse. All downloads should take place directly on Harvard Dataverse to ensure data integrity. |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Blair, Graeme, Jasper Cooper, Alexander Coppock, and Macartan Humphreys. 2019. "Declaring and Diagnosing Research Designs." <i>American Political Science Review</i>, 1--22. Published online first 31 May 2019. |
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Identification Number: |
10.1017/S0003055419000194 |
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Bibliographic Citation: |
Blair, Graeme, Jasper Cooper, Alexander Coppock, and Macartan Humphreys. 2019. "Declaring and Diagnosing Research Designs." <i>American Political Science Review</i>, 1--22. Published online first 31 May 2019. |
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Label: |
bcch-ddrd-replication-archive.zip |
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Notes: |
application/zip |