Working paper/research report

Publication year: 2008

DOI Link: https://doi.org/10.22029/jlupub-5801

Title of series: Discussion papers, Zentrum für Internationale Entwicklungs- und Umweltforschung

Number in series: 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 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.

Harvard Citation style: Bredl, S., Winker, P. and Kötschau, K. (2008) A statistical approach to detect cheating interviewers. (Discussion papers, Zentrum für Internationale Entwicklungs- und Umweltforschung, 39). Gießen: Zentrum für Internationale Entwicklungs- und Umweltforschung (ZEU). https://doi.org/10.22029/jlupub-5801

APA Citation style: Bredl, S., Winker, P., & Kötschau, K. (2008). A statistical approach to detect cheating interviewers. (Discussion papers, Zentrum für Internationale Entwicklungs- und Umweltforschung, 39). Zentrum für Internationale Entwicklungs- und Umweltforschung (ZEU). https://doi.org/10.22029/jlupub-5801