search query: @author DeSarbo, W. / total: 9
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| 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. |
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