期刊
POLITICAL ANALYSIS
卷 30, 期 3, 页码 426-449出版社
CAMBRIDGE UNIV PRESS
DOI: 10.1017/pan.2021.27
关键词
validity; reliability; Bayesian IRT; corruption
资金
- Riksbankens Jubileumsfond [M13-0559:1]
- Knut & Alice Wallenberg Foundation
- Swedish Research Council
- National Science Foundation [SES-1423944]
- Wenner-Gren Foundation
- European University Institute's Fernand Braudel Senior Fellowship
Political scientists often struggle with assessing the quality of measures for substantive research, we propose a three-component practical approach to data quality assessment; the approach is applied to corruption measures from the V-Dem project, revealing both advantages and disadvantages compared to other existing measures.
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 multimethod 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.
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