A statistical approach to detect cheating interviewers

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Discussion Paper ; No. 39

Classification and Topics

• Classification: Wirtschaft
• Subject: cheating interviewers ; Benford's law ; cluster analysis ; data fabrication ; Befragung ; Clusteranalyse ; Statistische Methode

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Bredl, Sebastian ; Winker, Peter ; Kötschau, Kerstin
• Event: Veröffentlichung
• (who): Justus-Liebig-Universität Gießen, Zentrum für Internationale Entwicklungs- und Umweltforschung (ZEU)
• (where): Giessen
• (when): 2008

Further information

• Handle: http://hdl.handle.net/10419/39808
• Last update: 10.03.2025, 11:42 AM CET