Probabilistic Models of Set-Dependent and Attribute-Level Best-Worst Choice

Academic Press
Publication Type:
Journal Article
Journal of Mathematical Psychology, 2008, 52 (5), pp. 281 - 296
Issue Date:
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We characterize a class of probabilistic choice models where the choice probabilities depend on two scales, one with a value for each available option and the other with a value for the set of available options. Then, we develop similar results for a task in which a person is presented with a profile of attributes, each at a pre-specified level, and chooses the best or the best and the worst of those attribute-levels. The latter design is an important variant on previous designs using bestworst choice to elicit preference information, and there is various evidence that it yields reliable interpretable data. Nonetheless, the data from a single such task cannot yield separate measures of the importance of an attribute and the utility of an attribute-level. We discuss various empirical designs, involving more than one task of the above general type, that may allow such separation of importance and utility.
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