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.
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Global Monitoring of the Impact of COVID-19 Pandemic through Online Surveys Sampled from the Facebook User Base
Christina M Astley,Gaurav Tuli,Kimberly A Mc Cord De Iaco,Emily Cohn,Benjamin Rader,Benjamin Rader,Samantha Chiu,Xiaoyi Deng,Kathleen Stewart,Tamer H Farag,Kristina M Barkume,Sarah LaRocca,Katherine Morris,Frauke Kreuter,Frauke Kreuter,John S. Brownstein,John S. Brownstein +16 more
TL;DR: The UMD Global COVID Trends and Impact Survey (UMD-CTIS) as discussed by the authors is the largest remote global health monitoring system and has been used to track the global COVID-19 impact across multiple populations.
Journal ArticleDOI
Using mouse movements to predict web survey response difficulty
TL;DR: It is found not only that certain mouse movements are highly predictive of difficulty but also that such movements add considerable value when used in conjunction with response times.
Journal ArticleDOI
Is the Collection of Interviewer Observations Worthwhile in an Economic Panel Survey? New Evidence from the German Labor Market and Social Security (PASS) Study
TL;DR: This article found that the ability of the interviewer observations to accurately identify these household features is not as high as that of prior-wave survey reports on these features, but the observations do tend to capture accurate information for households with changing socioeconomic status over time.
Journal ArticleDOI
Can conversational interviewing improve survey response quality without increasing interviewer effects
TL;DR: The authors found that conversational interviewing improves response quality without substantially or frequently increasing intra-interviewer correlations (IICs) in the responses collected, which could negatively impact the overall quality of survey estimates.