PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Automatic Identification of Faked and Fraudulent Interviews in the German SOEP
Christin Schäfer, Jörg-Peter Schräpler, Klaus-Robert Müller and Gert G. Wagner
Schmollers Jahrbuch, Journal of Applied Social Science Studies Volume 125, pp. 183-193, 2005. ISSN 1439-121X

Abstract

Based on data from the German Socio-Economic Panel (SOEP), this paper presents two new tools for the identification of faked interviews 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 was taken out of the survey before the data was disseminated to external users. 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.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:1917
Deposited By:Christin Schaefer
Deposited On:29 December 2005