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.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: Discussion Paper ; No. 39

Klassifikation und Themen

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

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Bredl, Sebastian ; Winker, Peter ; Kötschau, Kerstin
• Ereignis: Veröffentlichung
• (wer): Justus-Liebig-Universität Gießen, Zentrum für Internationale Entwicklungs- und Umweltforschung (ZEU)
• (wo): Giessen
• (wann): 2008

Weitere Informationen

• Handle: http://hdl.handle.net/10419/39808
• Letzte Aktualisierung: 10.03.2025, 11:42 MEZ