What If Consumer Experiments Impact Variances as Well as Means? Response Variability as a Behavioral Phenomenon
Jordan J Louviere
Journal of Consumer Research, 2001, vol. 28, issue 3, 506-11
Abstract:
This essay discusses the fact that in many cases means and variances of probability distributions are confounded and cannot be separated, which poses particular problems for analysis and interpretation of behavioral response data in consumer research. The discussion focuses on random utility theory to show that the confoundment of means and variances poses problems for published research in many areas of consumer behavior. Examples are provided to show why and how reported empirical differences in means may in fact be differences in variability. Ways to deal with the problem empirically are discussed. Copyright 2001 by the University of Chicago.
Date: 2001
References: Add references at CitEc
Citations: View citations in EconPapers (44)
Downloads: (external link)
http://dx.doi.org/10.1086/323739 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:oup:jconrs:v:28:y:2001:i:3:p:506-11
Access Statistics for this article
Journal of Consumer Research is currently edited by Bernd Schmitt, June Cotte, Markus Giesler, Andrew Stephen and Stacy Wood
More articles in Journal of Consumer Research from Journal of Consumer Research Inc.
Bibliographic data for series maintained by ().