The influence of interviewers on survey responses among female sex workers in Zambia.

ABSTRACT:

Background

Interviewers can substantially affect self-reported data. This may be due to random variation in interviewers' ability to put respondents at ease or in how they frame questions. It may also be due to systematic differences such as social distance between interviewer and respondent (e.g., by age, gender, ethnicity) or different perceptions of what interviewers consider socially desirable responses. Exploration of such variation is limited, especially in stigmatized populations.

Methods

We analyzed data from a randomized controlled trial of HIV self-testing amongst 965 female sex workers (FSWs) in Zambian towns. In the trial, 16 interviewers were randomly assigned to respondents. We used hierarchical regression models to examine how interviewers may both affect resp

SUBMITTER: Harling G 

PROVIDER: S-EPMC6419821 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature