Discrete Choice Experiment Response Rates: A Meta‐analysis

This paper uses meta‐regression analysis to test how aspects of discrete choice experiment (DCE) study design influence survey response rates. DCEs are a survey‐based method used to elicit preferences for health and health care and are prone to survey errors of coverage, sampling, non‐response and m...

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Bibliographic Details
Published in:Health economics 2017-06, Vol.26 (6), p.810-817
Main Authors: Watson, Verity, Becker, Frauke, Bekker‐Grob, Esther
Format: Article
Language:English
Subjects:
Choice Behavior
Cognition
Critical incidents
Delivery of Health Care
Discrete choice
discrete choice experiments
Economic models
Health care
Humans
Incentives
Measurement
meta regression analysis
Meta-analysis
Polls & surveys
Prone
Regression Analysis
Research Design
Response rates
Sampling
Social exchange theory
survey design
Surveys and Questionnaires
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Summary:This paper uses meta‐regression analysis to test how aspects of discrete choice experiment (DCE) study design influence survey response rates. DCEs are a survey‐based method used to elicit preferences for health and health care and are prone to survey errors of coverage, sampling, non‐response and measurement. However, research on DCE response rates is lacking. Our analysis is motivated by a social exchange theory of survey response. We find that DCE response rates are related to the survey's cognitive burden and the relevance to the surveyed population. Copyright © 2016 John Wiley & Sons, Ltd.
ISSN:1057-9230
1099-1050
DOI:10.1002/hec.3354