A structural latent variable approach to modelling consumer perception: A case study of orange juice

X. M. Gao, Anderson Reynolds and Jonq-Ying Lee
Additional contact information
X. M. Gao: Department of Agricultural Economics and Rural Sociology, University of Arkansas, Postal: Department of Agricultural Economics and Rural Sociology, University of Arkansas
Anderson Reynolds: Southwestern Bell Corporation, Postal: Southwestern Bell Corporation
Jonq-Ying Lee: Florida Department of Citrus, and Adjunct Professor, Food and Resource Economics Department, University of Florida, Postal: Florida Department of Citrus, and Adjunct Professor, Food and Resource Economics Department, University of Florida

Agribusiness, 1993, vol. 9, issue 4, 317-324

Abstract: Recognizing the unobservability of consumer perception, a structural latent variable model with multiple dichotomous indicators and multiple cause variables was employed to characterize consumer perception of orange juice. Results indicated that education, sex, race, urbanization, and household size were important determinants of consumer perception. Other results suggested that several of the included indicator variables (such as orange juice is good for breakfast, is good for health, is energizing, and is refreshing) represented important dimensions of the latent consumer perception variable. © 1993 John Wiley & Sons, Inc.

Date: 1993
References: View references in EconPapers View complete reference list from CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:wly:agribz:v:9:y:1993:i:4:p:317-324

DOI: 10.1002/1520-6297(199307)9:4<317::AID-AGR2720090403>3.0.CO;2-J

Access Statistics for this article

Agribusiness is currently edited by Ronald W. Cotterill

More articles in Agribusiness from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley Content Delivery ().