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Title:A statistical approach to detect cheating interviewers PDF Logo
Authors:Bredl, Sebastian
Winker, Peter
Kötschau, Kerstin
Issue Date:2008
Series/Report no.:Diskussionsbeiträge // Zentrum für internationale Entwicklungs- und Umweltforschung 39
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 toolin 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 classiffication is superior to the application of a singleindicator such as Benford's law.
Subjects:cheating interviewers
Benford's law
cluster analysis
data fabrication
Document Type:Working Paper
Appears in Collections:Discussion Papers, ZEU, JLU Gießen

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