A New Zero-Inflated Negative Binomial Methodology for Latent Category Identification

42 Pages Posted: 14 Apr 2012 Last revised: 1 Nov 2012

See all articles by Simon J. Blanchard

Simon J. Blanchard

Georgetown University - Robert Emmett McDonough School of Business

Wayne S. DeSarbo

Pennsylvania State University

Date Written: April 11, 2012

Abstract

We introduce a new statistical procedure for the identification of unobserved categories that vary between individuals and in which objects may span multiple categories. This procedure can be used to analyze data from a proposed sorting task data in which individuals may simultaneously assign objects to multiple piles. The results of a synthetic example and a consumer psychology study involving categories of restaurant brands illustrate how the application of the proposed methodology to the new sorting task can account for a variety of categorization phenomena including multiple category memberships and for heterogeneity through individual differences in the saliency of latent category structures.

Keywords: categorization, unobserved Categories, heterogeneity, sorting task, consumer psychology

JEL Classification: C10, C20

Suggested Citation

Blanchard, Simon J. and DeSarbo, Wayne S., A New Zero-Inflated Negative Binomial Methodology for Latent Category Identification (April 11, 2012). Psychometrika, Forthcoming, Georgetown McDonough School of Business Research Paper No. 2012-12, Available at SSRN: https://ssrn.com/abstract=2039084

Simon J. Blanchard (Contact Author)

Georgetown University - Robert Emmett McDonough School of Business ( email )

3700 O Street, NW
Washington, DC 20057
United States

Wayne S. DeSarbo

Pennsylvania State University ( email )

University Park
State College, PA 16802
United States

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