title: A new zero-inflated negative binomial methodology for latent category identification.
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 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.
authors.affiliation: McDonough School of Business, Georgetown University, 37th and O St. N.W., Washington, DC, 20057, USA, sjb247@georgetown.edu.
authors.forename: Simon J
authors.initials: SJ
authors.lastname: Blanchard
authors.forename: Wayne S
authors.initials: WS
authors.lastname: DeSarbo
mesh_terms: D000328:Adult; D002965:Classification; D003210:Concept Formation; D006801:Humans; D011594:Psychometrics / Q000379:methods*; D013223:Statistics as Topic / Q000379:methods*; D055815:Young Adult
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