Interviewer effect
The interviewer effect (also called interviewer variance or interviewer error) is any effect on data gathered from interviewing people that is caused by the behavior or characteristics (real or perceived) of the interviewer.
Interviewer effects can be mitigated somewhat by randomly assigning subjects to different interviewers, or by using tools such as Computer Assisted Telephone Interviewing (CATI).[1]
See also
References
- ↑ Groves, Robert M.; Lou J. Magilavy (1986). "Measuring and Explaining Interviewer Effects in Centralized Telephone Surveys". Public Opinion Quarterly 50 (2): 251. doi:10.1086/268979. ISSN 0033-362X.
- Stokes, Lynn; Yeh, Ming-Yih (October 2001). "Chapter 22: Searching for Causes of Interviewer Effects in Telephone Surveys". In Groves, Robert M., et al. Telephone Survey Methodology. Wiley. pp. 357–110. ISBN 978-0-471-20956-0.
- Davis, R. E.; et al. (Feb 2010). "Interviewer effects in public health surveys". Health Education Research 25 (1): 14–26. doi:10.1093/her/cyp046. PMC 2805402. PMID 19762354.