Literature DB >> 29731702

Strategies for Increasing the Accuracy of Interviewer Observations of Respondent Features: Evidence from the U.S. National Survey of Family Growth.

Brady T West1, Frauke Kreuter2.   

Abstract

Because survey response rates are consistently declining worldwide, survey researchers strive to obtain as much auxiliary information on sampled units as possible. Surveys using in-person interviewing often request that interviewers collect observations on key features of all sampled units, given that interviewers are the eyes and ears of the survey organization. Unfortunately, these observations are prone to error, which decreases the effectiveness of nonresponse adjustments based on the observations. No studies have investigated the strategies being used by interviewers tasked with making these observations, or examined whether certain strategies improve observation accuracy. This study is the first to examine the associations of observational strategies used by survey interviewers with the accuracy of observations collected by those interviewers. A qualitative analysis followed by multilevel models of observation accuracy show that focusing on relevant correlates of the feature being observed and considering a diversity of cues are associated with increased observation accuracy.

Entities:  

Keywords:  Auxiliary Variables; Interviewer Effects; Interviewer Observations; Multilevel Modeling; Survey Paradata

Year:  2018        PMID: 29731702      PMCID: PMC5931735          DOI: 10.1027/1614-2241/a000142

Source DB:  PubMed          Journal:  Methodology (Gott)        ISSN: 1614-1881


  15 in total

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Journal:  Eur J Epidemiol       Date:  2006-06-28       Impact factor: 8.082

6.  Errors and mistakes: evaluating the accuracy of social judgment.

Authors:  D C Funder
Journal:  Psychol Bull       Date:  1987-01       Impact factor: 17.737

7.  Assessing the measurement error properties of interviewer observations of neighbourhood characteristics.

Authors:  C Casas-Cordero; F Kreuter; Y Wang; S Babey
Journal:  J R Stat Soc Ser A Stat Soc       Date:  2013-01-01       Impact factor: 2.483

8.  What you see is what you set: sustained inattentional blindness and the capture of awareness.

Authors:  Steven B Most; Brian J Scholl; Erin R Clifford; Daniel J Simons
Journal:  Psychol Rev       Date:  2005-01       Impact factor: 8.934

9.  Logistic Regression with Multiple Random Effects: A Simulation Study of Estimation Methods and Statistical Packages.

Authors:  Yoonsang Kim; Young-Ku Choi; Sherry Emery
Journal:  Am Stat       Date:  2013-08-01       Impact factor: 8.710

10.  Consequences of declining survey response rates for smoking prevalence estimates.

Authors:  Lois Biener; Catherine A Garrett; Elizabeth A Gilpin; Anthony M Roman; Douglas B Currivan
Journal:  Am J Prev Med       Date:  2004-10       Impact factor: 5.043

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