Testing Probabilistic Choice Models

Patrick M. Bossuyt; Edward E. Roskam

doi:https://doi.org/10.1016/S0166-4115(08)60237-X

Testing Probabilistic Choice Models

Patrick M. Bossuyt, Edward E. Roskam

Research output: Contribution to journal › Article › Academic › peer-review

2 Citations (Scopus)

Abstract

A framework for the concepts “model”, “theory” and “data” within the context of probabilistic choice models is presented. What is commonly called a test of a model comes down to an assessment of the goodness-of-fit relation between a model of a theory and a model of data. A distinction is made between theories that lead to ordinal restrictions on choice probabilities (Type I), and theories that specify a functional relation between utilities and choice probabilities (Type II). The study of probabilistic choice behavior could benefit from an assessment of the goodness-of-fit of Type I theories with statistical methods usually reserved for Type II theories.

Original language	English
Pages (from-to)	207-219
Number of pages	13
Journal	Advances in Psychology
Volume	60
Issue number	C
DOIs	https://doi.org/10.1016/S0166-4115(08)60237-X
Publication status	Published - 1 Jan 1989

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Testing Probabilistic Choice Models

Abstract

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