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Standardizing Variables in Multiplicative Choice Models

Bibliographic Data

ID11074708
AuthorsLee G Cooper (0009-0006-5908-4036, UCLA Health, corresponding author), Masao Nakanishi (0000-0001-6200-9279)
Year1983
Volume10
Issue1
Pages96
Publication date1983-06-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Consumer Research (JOURNAL)
Journal identifiersISSN: 0093-5301 • E-ISSN: 1537-5277
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1086/208948
OpenAlexW2096131033
LanguageEN
Citations received6
References cited1

To use multiplicative competitive interaction (MCI) models as part of a theory of the evaluative process in choice, we need a method to transform interval scale consumer judgments into positive, ratio scales. We develop a coefficient—zeta-squared—that possesses the needed scale requirements and other theoretically desirable properties, and report four research studies to demonstrate the diversity of applications of multiplicative choice models using zeta-squared. We also discuss the relations of MCI models to Luce choice models to illustrate the potential of zeta-squared for representing the effects of similarity on choice, and consider some of the benefits of standardizing variables in MCI models or multinomial logit models

Econometrics · Multinomial logistic regression · Multiplicative function · Similarity (geometry · Statistics · Artificial Intelligence · Computer Science · Consumer Market Behavior and Pricing · Decision-Making and Behavioral Economics · Economic and Environmental Valuation · Mathematics

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Unique citing works6
Citations per year0,15
Citation span1987 - 2007 (21)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 6

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