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Automatic Identification of Faked and Fraudulent Interviews in Surveys by Two Different Methods

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dc.creator Schäfer, Christin
dc.creator Schräpler, Jörg-Peter
dc.creator Müller, Klaus-Robert
dc.creator Wagner, Gert G.
dc.date 2004
dc.date.accessioned 2013-10-16T06:59:23Z
dc.date.available 2013-10-16T06:59:23Z
dc.date.issued 2013-10-16
dc.identifier http://hdl.handle.net/10419/18293
dc.identifier ppn:39640281X
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/10419/18293
dc.description This paper presents two new tools for the identification of faking interviewers in surveys. One method is based on Benford?s Law, and the other exploits the empirical observation that fakers most often produce answers with less variability than could be expected from the whole survey. We focus on fabricated data, which were taken out of the survey before the data were disseminated in the German Socio-Economic Panel (SOEP). For two samples, the resulting rankings of the interviewers with respect to their cheating behavior are given. For both methods all of the evident fakers are identified.
dc.language eng
dc.publisher Deutsches Institut für Wirtschaftsforschung (DIW) Berlin
dc.relation DIW-Diskussionspapiere 441
dc.rights http://www.econstor.eu/dspace/Nutzungsbedingungen
dc.subject C4
dc.subject C8
dc.subject ddc:330
dc.subject Befragung
dc.subject Panel
dc.subject Manipulation
dc.subject Theorie
dc.subject Deutschland
dc.subject Benford's law
dc.title Automatic Identification of Faked and Fraudulent Interviews in Surveys by Two Different Methods
dc.type doc-type:workingPaper


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