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Activity Number: 483
Type: Topic Contributed
Date/Time: Wednesday, August 3, 2016 : 8:30 AM to 10:20 AM
Sponsor: Survey Research Methods Section
Abstract #319315 View Presentation
Title: Response Propensity and Motivated Under-Reporting: Do Persons Likely to Respond Give Better Answers to Filter and Eligibility Questions?
Author(s): Jessica Wengrzik* and Stephanie Eckman and Ruben Bach
Companies: GESIS and RTI International and Institute for Employment Research
Keywords: Motivated Underreporting ; Response Propensity ; Statistical Boosting ; Measurement Error ; Nonresponse Error
Abstract:

Does the effort of bringing in hard-to-contact or reluctant respondents decrease total survey error? Or will these high response rates end up in causing high measurement error because of bad responses of the additional respondents? The evidence for a relationship between measurement and nonresponse error is still inconsistent. While some authors found evidence for a link between nonresponse and measurement error (Fricker 2007) others have not (Olson 2006). For better understanding this relationship, a further examination of the various reasons for measurement error has to be done. This study examines motivated underreporting as a reason for measurement error in filter and eligibility questions. Using three datasets from a variety of countries and modes, this paper explores whether motivated underreporting is worse among those respondents who were the least likely to respond to the survey. To identify the reluctant respondents, I build response propensity models using statistical boosting. This study found evidence that there does not appear to be more motivated underreporting among reluctant respondents in filter questions but in eligibility questions.


Authors who are presenting talks have a * after their name.

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