search query: @author Wedel, M. / total: 12
reference: 11 / 12
Author: | Wedel, M. DeSarbo, W. |
Title: | A latent class binominal logit methodology for the analysis of paired comparison choice data: an application reinvestigating the determinants of perceived risk |
Journal: | Decision Sciences
1993 : NOV-DEC, VOL. 24:6, p. 1157-1170 |
Index terms: | MARKET SEGMENTATION RISK STATISTICAL METHODS |
Language: | eng |
Abstract: | A latent class model for identifying classes of subjects in paired comparison choice experiments is developed. The model simultaneously estimates a probabilistic classification of subjects and the logit models' coefficients relating characteristics of objects to choices for each respective group among two alternatives in paired comparison experiments. A modest Monte Carlo analysis of algorithm performance is presented. The proposed model is illustrated with empirical data from a consumer psychology experiment that examines the determinants of perceived consumer risk. |
SCIMA