Abstract:
In discrete choice experiments, design decisions are crucial for determining data quality and costs. While high statistical efficiency designs are desirable, they may come at a price if they increase the cognitive burden for respondents. We address this problem by designing 44 experiments that systematically vary numbers of attributes and attribute level differences. Our results for two product categories suggest that respondents systematically are less consistent in answering choice questions as statistical efficiency increases. This relationship holds regardless of the number of attributes and is statistically significant even if one accommodates preference heterogeneity. Implications for practice and future research are discussed. (c) 2008 by JOURNAL OF CONSUMER RESEARCH, Inc..
Journal of Consumer Research: An Interdisciplinary Quarterly is edited by Dawn Iacobucci
More articles in Journal of Consumer Research: An Interdisciplinary Quarterly from University of Chicago Press Address: The University of Chicago Press, Journals Division, P.O. Box 37005 Chicago, IL 60637 Series data maintained by Christopher F. Baum ().
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