Improving Surveys With Paradata 2013
DOI: 10.1002/9781118596869.ch3
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Collecting Paradata for Measurement Error Evaluations

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Cited by 56 publications
(43 citation statements)
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References 67 publications
(96 reference statements)
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“…Low item nonresponse rates in telephone surveys make it a difficult outcome to use for this purpose. Another possibility is response time, which has been previously used as a proxy measure of data quality, and is of interest for factors that contribute to the overall length of a questionnaire (Olson and Parkhurst 2013;Yan and Olson 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Low item nonresponse rates in telephone surveys make it a difficult outcome to use for this purpose. Another possibility is response time, which has been previously used as a proxy measure of data quality, and is of interest for factors that contribute to the overall length of a questionnaire (Olson and Parkhurst 2013;Yan and Olson 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Finally, interview length is only an indirect indicator of data quality (e.g., Olson and Parkhurst 2013;Yan and Olson 2013). Future research should also investigate the effects of variables capturing learning and response propensity on more direct indicators of data quality, such as rounding or response styles.…”
Section: Discussionmentioning
confidence: 99%
“…The final sample size is 2,008 respondents after 18 (0.8 percent) cases were removed due to short completion times of less than 5 minutes. A common technique in survey research is to use completion time to identify respondents who may have sped through the survey without carefully reading or answering questions (Olson & Parkhurst, 2013). A review of the 18 cases showed that respondents either failed to answer items after the initial demographic section, or exhibited "straight-lining" (answering several sequential items with the same response).…”
Section: Data Collectionmentioning
confidence: 99%