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.
