interviewer bias


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interviewer bias

(ĭn′tĕr-vū″ĕr)
Distortion in a research investigation, introduced by the intentional or unrecognized behavior of the data collector, e.g., personal beliefs, cultural background, style of dress, use of language, or body language. The distortions may influence the person providing or interpreting the data.
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Data from a computer assisted diet history interview and face-to-face interview were compared, showing greater interviewer bias without the computer, but the two methods were of similar quality.
The study also had an adequate sample size and allowed for participant anonymity, which decreases the potential for respondent and/or interviewer bias (Polit & Hungler, 1999).
* Can be skewed by possible interviewer bias through expressions, comments, etc.
Other possible sources of bias including interviewer bias and detection bias (due to close surveillance by a urologist) were adequately addressed in the study.
One limitation of the study was the potential for recall and interviewer bias with case-control studies.
This may not be applicable when the design of the survey instrument is controlled to eliminate the potential for interviewer bias and when post-survey interviews are a necessary information-gathering element.
Several studies indicate that interviewer bias leads to inaccurate statements from the party being interviewed (Belli, 1989; Ceci & Bruck, 1993; Saywitz & Snyder, 1993).
Recognize and eliminate interviewer bias. As I stated earlier, most managers and supervisors have a mental picture of the ideal candidate.
First, the findings are subject to interviewer bias because some of the interviewers knew about the strengths and weaknesses of the surveillance systems; however, this was offset by the presence of independent interviewers from CDC and WHO.
To minimize interviewer bias and build interviewers' skills in conducting semistructured interviews with this population, we implemented a rigorous application process, required participation in two weeks of training, and provided ongoing supervision throughout the data collection process.