An Examination of an Interviewer-Respondent Matching Protocol in a Longitudinal CATI Study.

Computer-assisted telephone interviewing Interviewer effects Interviewer-respondent interaction Survey nonresponse

Journal

Journal of survey statistics and methodology
ISSN: 2325-0984
Titre abrégé: J Surv Stat Methodol
Pays: United States
ID NLM: 101630209

Informations de publication

Date de publication:
Apr 2020
Historique:
entrez: 21 4 2020
pubmed: 21 4 2020
medline: 21 4 2020
Statut: ppublish

Résumé

This article presents results from an experimental study in Germany designed to test the effectiveness of a novel protocol for matching participants in a national panel survey with interviewers employing computer-assisted telephone interviewing (CATI) on selected sociodemographic features, including sex, age, and education. We specifically focus on the ability of the protocol to engender close matches between respondents and interviewers in terms of these features, using both theory and empirical evidence to suggest that this type of matching will improve cooperation rates in surveys employing CATI. We also focus on indicators of "success" at first contact (defined as a successful interview or establishment of an appointment for an interview) as a function of whether the matching protocol was in use on a given day and whether specific types of matches generated higher rates of success overall. We find strong evidence of the protocol effectively establishing close matches, and we also observe that matches based on education proved especially effective for rates of "success" in a panel survey that focused primarily on labor market topics. We conclude with thoughts on practical implementation of this approach in other settings and suggested directions for future work in this area.

Identifiants

pubmed: 32309459
doi: 10.1093/jssam/smy028
pii: smy028
pmc: PMC7147819
doi:

Types de publication

Journal Article

Langues

eng

Pagination

304-324

Informations de copyright

© The Author(s) 2019. Published by Oxford University Press on behalf of the American Association for Public Opinion Research. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Références

Ann Epidemiol. 1999 Apr;9(3):188-95
pubmed: 10192651
Soc Sci Res. 2017 Sep;67:229-238
pubmed: 28888288

Auteurs

Brady T West (BT)

Research Associate Professor in the Survey Methodology Program (SMP), Survey Research Center (SRC), Institute for Social Research (ISR), University of Michigan, 426 Thompson Street, Ann Arbor, MI 48106, USA.

Michael R Elliott (MR)

Professor of Biostatistics at the School of Public Health and Research Professor in the Survey Methodology Program (SMP), Survey Research Center (SRC), Institute for Social Research (ISR), University of Michigan.

Zeina Mneimneh (Z)

Assistant Research Scientist in the Survey Methodology Program (SMP), Survey Research Center (SRC), Institute for Social Research (ISR), University of Michigan.

James Wagner (J)

Research Associate Professor in the Survey Methodology Program (SMP), Survey Research Center (SRC), Institute for Social Research (ISR), University of Michigan.

Andy Peytchev (A)

Senior Survey Methodologist in the Center for Survey Methodology, Survey Research Division, RTI International, 3040 E. Cornwallis Rd., Research Triangle Park, NC 27709, USA.

Mark Trappmann (M)

Head of Research on the Labor Market and Social Security Study at the Institute for Employment Research, Regensburger Str. 104, 90478 Nuernberg, Germany and Professor of Survey Methodology at the University of Bamberg, Feldkirchenstr. 21, 96052 Bamberg, Germany.

Classifications MeSH