|
EconStor >
Justus-Liebig-Universität Gießen (JLU) >
Zentrum für Internationale Entwicklungs- und Umweltforschung (ZEU), Universität Gießen >
Discussion Papers, ZEU, JLU Gießen >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10419/39808
|
| | |
| Title: | | A statistical approach to detect cheating interviewers  |
| 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
|
| |
| | |
Download bibliographical data as:
BibTeX
|
| |
Share on:http://hdl.handle.net/10419/39808
|
Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.
|