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

Simon J. Blanchard, Wayne S. DeSarbo

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


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 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.

Original languageEnglish (US)
Pages (from-to)322-340
Number of pages19
Issue number2
StatePublished - Apr 2013

All Science Journal Classification (ASJC) codes

  • General Psychology
  • Applied Mathematics


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