JSM 2004 Online Program

Abstract #302041

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Activity Number:	195
Type:	Contributed
Date/Time:	Tuesday, August 10, 2004 : 8:30 AM to 10:20 AM
Sponsor:	Section on Survey Research Methods
Abstract - #302041
Title:	Detecting Interviewer Data Falsification
Author(s):	Javier Porras*+ and Edward English
Companies:	NORC, University of Chicago and NORC, University of Chicago
Address:	55 E Monroe, Suite 4800, Chicago, IL, 60603,
Keywords:	falsification ; fabrication ; interviewer
Abstract:	Interviewer data falsification reduces the quality of survey data. Even when applying industry-standard monitoring and validation techniques, it can be difficult to detect data fabricated by an interviewer. A goodness-of-fit test to the Benford distribution and other tests that compare patterns and distributions can more easily identify data falsification. We tested these methods by intentionally fabricating records, adding them to legitimate survey datasets, and checking whether the tests correctly flag the fabricated records as suspicious. This paper details the approach used and summarizes the results.

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