F
Frauke Kreuter
Researcher at University of Maryland, College Park
Publications - 201
Citations - 7308
Frauke Kreuter is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Paradata & Survey data collection. The author has an hindex of 38, co-authored 185 publications receiving 5738 citations. Previous affiliations of Frauke Kreuter include University of Mannheim & Institut für Arbeitsmarkt- und Berufsforschung.
Papers
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Journal ArticleDOI
Issues Facing the Field: Alternative Practical Measures of Representativeness of Survey Respondent Pools
Robert M. Groves,J. Michael Brick,Mick Michael Couper,William Michael Kalsbeek,Brian Michael Harris-Kojetin,Frauke Kreuter,Beth-Ellen Pennell,Trivellore Michael Raghunathan,Barry Schouten,Tom Michael Smith,Roger Tourangeau,Ashley Bowers,Matt Jans,Courtney Kennedy,Rachel Levenstein,Kristen Olson,Emilia Peytcheva,Sonja Ziniel,James Wagner +18 more
TL;DR: In this article, alternative practical measures of representativeness of survey respondent pools were proposed for measuring the representatability of survey respondents in survey pools. But they are not suitable for the general population.
Journal ArticleDOI
Factors Affecting the Accuracy of Interviewer Observations Evidence from the National Survey of Family Growth
Brady T. West,Frauke Kreuter +1 more
TL;DR: This article examined the associations of observational strategies used by field interviewers collecting face-to-face interviews from a large area probability sample with the accuracy of observations collected by those interviewers.
Posted Content
Evaluating the quality of survey and administrative data with generalized multitrait-multimethod models
TL;DR: In this paper, the authors introduce the "generalized multitrait-multimethod" (GMTMM) model, which can be seen as a general framework for evaluating the quality of administrative and survey data simultaneously.
Journal ArticleDOI
Evaluating the Quality of Survey and Administrative Data with Generalized Multitrait-Multimethod Models
TL;DR: The “generalized multitrait-multimethod” (GMTMM) model is introduced, which can be seen as a general framework for evaluating the quality of administrative and survey data simultaneously and accommodates common features of administrative data such as discreteness, nonlinearity, and nonnormality, improving similar existing models.
Journal ArticleDOI
Differential Privacy and Social Science: An Urgent Puzzle
Daniel L. Oberski,Frauke Kreuter +1 more
TL;DR: In the discussion around privacy risks and data protection, a large number of disciplines must band together to solve this urgent puzzle of the authors' time, including social science, computer science, ethics, law, and statistics, as well as public and private policy.