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

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  • Christin Schäfer
  • Jörg-Peter Schräpler
  • Klaus-Robert Müller
  • Gert G. Wagner

Abstract

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.

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File URL: http://www.diw.de/documents/publikationen/73/diw_01.c.42515.de/dp441.pdf
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Bibliographic Info

Paper provided by DIW Berlin, German Institute for Economic Research in its series Discussion Papers of DIW Berlin with number 441.

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Length: 13 p.
Date of creation: 2004
Date of revision:
Handle: RePEc:diw:diwwpp:dp441

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Cited by:
  1. Jürgen Schupp & Joachim R. Frick, 2010. "Multidisciplinary Household Panel Studies under Academic Direction," Working Paper Series of the German Council for Social and Economic Data 140, German Council for Social and Economic Data (RatSWD).
  2. Dlugosz, Stephan & Müller-Funk, Ulrich, 2012. "Ziffernanalyse zur Betrugserkennung in Finanzverwaltungen: Prüfung von Kassenbelegen," Arbeitsberichte des Instituts für Wirtschaftsinformatik 133, University of Münster, Department of Information Systems.

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