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Automatie Identification of Faked and Fraudulent Interviews in the German SOEP
Schäfer, Christin | Schräpler, Jörg-Peter | Müller, Klaus-Robert | Wagner, Gert G.
Journal of Contextual Economics – Schmollers Jahrbuch, Vol. 125 (2005), Iss. 1 : pp. 183–193
3 Citations (CrossRef)
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Schäfer, Christin
Schräpler, Jörg-Peter
Müller, Klaus-Robert
Wagner, Gert G.
Cited By
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Using GPS-Paradata to Control the Data Collection Process: Review of Existing Methods and Analysis of GPS-Paradata Quality
Lebedev, Daniil
Sociological Journal, Vol. 28 (2022), Iss. 4 P.8
https://doi.org/10.19181/socjour.2022.28.4.9313 [Citations: 0] -
Detecting Interviewer Fraud Using Multilevel Models
Olbrich, Lukas | Kosyakova, Yuliya | Sakshaug, Joseph W | Schwanhäuser, SilviaJournal of Survey Statistics and Methodology, Vol. (2023), Iss.
https://doi.org/10.1093/jssam/smac036 [Citations: 0] -
Detecting Fraudulent Interviewers by Improved Clustering Methods – The Case of Falsifications of Answers to Parts of a Questionnaire
De Haas, Samuel | Winker, PeterJournal of Official Statistics, Vol. 32 (2016), Iss. 3 P.643
https://doi.org/10.1515/jos-2016-0033 [Citations: 6]
Abstract
Based on data frorn the German Socio-Econornic Panel (SOEP), this paper presents two new tools for the identification of faked interviews in surveys. One rnethod is based on Benford's Law, and the other exploits the ernpirical observation that fakers most often produce answers with less variability than could be expected frorn the whole survey. We focus on fabricated data, which was taken out of the survey before the data was disserninated to extemal users. For two sarnples, the resulting rankings of the interviewers with respect to their cheating behavior are given. For both rnethods all of the evident fakers are identified.