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- W2183638561 abstract "Policy makers in the major developed countries have used social surveys of human subjects to generate influential information and make informed decisions and plans. However, possible combined and unexamined biases caused by noncontact, refusal, and underreporting in responses may have the survey data quality compromised. Utilizing auxiliary administrative records, respondents’ self-reports, paradata on interviewers and survey processes, as well as laboratory test results, this study aims to ascertain factors influencing survey procedural outcomes at various stages through logit models, understand the presence of biases using the propensity score approach, and investigate whether the propensities of participation and/or cooperation could be significantly associated with the likelihood of providing false information in surveys of arrestees. It is concluded that survey estimation adjustments need to be made not only for the biases caused by nonresponses but also for the measurement error such as underreporting. These adjustments should be made with a consideration of the full process involving multiple stages at which nonuniform and differentiated conditionality is embedded and interrelated." @default.
- W2183638561 created "2016-06-24" @default.
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- W2183638561 date "2009-01-01" @default.
- W2183638561 modified "2023-09-27" @default.
- W2183638561 title "Modeling Nonresponse and Underreporting in Response in Surveys of Arrestees" @default.
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