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A statistical approach to detect cheating interviewers

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ZeuDiscPap39.pdf (167.3Kb)
Date
2008
Author
Bredl, Sebastian
Winker, Peter
Kötschau, Kerstin
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http://dx.doi.org/10.22029/jlupub-5801
Abstract

Survey data are potentially affected by cheating interviewers. Even a small number of fabricated interviews might seriously impair the results of further empirical analysis. Besides reinterviews some statistical approaches have been proposed for identifying fabrication of interviews. As a novel tool in this context, cluster and discriminant ... analysis are used. Several indicators are combined to classify "at risk" interviewers based solely on the collected data. An application to a dataset with known cases of cheating interviewers demonstrates that the methods are able to identify the cheating interviewers with a high probability. The multivariate classification is superior to the application of a single indicator such as Benford's law.

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Discussion papers / Zentrum für Internationale Entwicklungs- und Umweltforschung; 39
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  • Discussion Papers / Zentrum für Internationale Entwicklungs- und Umweltforschung (ZEU)
Namensnennung - Nicht-kommerziell - Keine Bearbeitung 3.0 Deutschland
Namensnennung - Nicht-kommerziell - Keine Bearbeitung 3.0 Deutschland

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