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Replication Data for: Assessing Data Quality: An Approach and An Application

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Field Value
 
Title Replication Data for: Assessing Data Quality: An Approach and An Application
 
Identifier https://doi.org/10.7910/DVN/BXV4AT
 
Creator McMann, Kelly
Pemstein, Daniel
Seim, Brigitte
Teorell, Jan
Lindberg, Staffan
 
Publisher Harvard Dataverse
 
Description Political scientists routinely face the challenge of assessing the quality (validity and reliability) of measures in order to use them in substantive research. While stand-alone assessment tools exist, researchers rarely combine them comprehensively. Further, while a large literature informs data producers, data consumers lack guidance on how to assess existing measures for use in substantive research. We delineate a three-component practical approach to data quality assessment that integrates complementary multi-method tools to assess: 1) content validity; 2) the validity and reliability of the data generation process; and 3) convergent validity. We apply our quality assessment approach to the corruption measures from the Varieties of Democracy (V-Dem) project, both illustrating our rubric and unearthing several quality advantages and disadvantages of the V-Dem measures, compared to other existing measures of corruption.
 
Subject Social Sciences
 
Contributor Code Ocean