Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Xu et al find lower cognition at midlife for adults born during China's 1959-61 famine

UM's Wolfers on separating deep expertise from partisanship in analyses of economic condtions

Findings by Burgard, Kalousova, and Seefeldt on the mental health impact of job insecurity

More News

Highlights

Apply by Jan 8 for NIA-supported PSC post-doc fellowship, to begin Sept 1, 2018

On Giving Blue Day, help support the next generation through the PSC Alumni Grad Student Support Fund or ISR's Next Gen Fund

Bailey et al. find higher income among children whose parents had access to federal family planning programs in the 1960s and 70s

U-M's campus climate survey results discussed in CHE story

More Highlights

Next Brown Bag

Mon, Jan 22, 2018, noon: Narayan Sastry

Interviewer effects in public health surveys

Publication Abstract

Davis, R.E., Mick P. Couper, N.K. Janz, C.H. Caldwell, and K. Resnicow. 2010. "Interviewer effects in public health surveys." Health Education Research, 25(1): 14-26.

Interviewer effects can have a substantial impact on survey data and may be particularly operant in public health surveys, where respondents are likely to be queried about racial attitudes, sensitive behaviors and other topics prone to socially desirable responding. This paper defines interviewer effects, argues for the importance of measuring and controlling for interviewer effects in health surveys, provides advice about how to interpret research on interviewer effects and summarizes research to date on race, ethnicity and gender effects. Interviewer effects appear to be most likely to occur when survey items query attitudes about sociodemographic characteristics or respondents' engagement in sensitive behaviors such as substance use. However, there is surprisingly little evidence to indicate whether sociodemographic interviewer-respondent matching improves survey response rates or data validity, and the use of a matched design introduces possible measurement bias across studies. Additional research is needed to elucidate many issues, including the influence of interviewers' sociodemographic characteristics on health-related topics, the role of within-group interviewer variability on survey data and the simultaneous impact of multiple interviewer characteristics. The findings of such research would provide much-needed guidance to public health professionals on whether or not to match interviewers and respondents on key sociodemographic characteristics.

DOI:10.1093/her/cyp046 (Full Text)

PMCID: PMC2805402. (Pub Med Central)

Country of focus: United States of America.

Browse | Search : All Pubs | Next