期刊
JOURNAL OF MATHEMATICAL PSYCHOLOGY
卷 52, 期 5, 页码 283-298出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jmp.2008.02.002
关键词
Attribute choicer; Best-worst choicer; Importance Probabilistic choice; Profile
类别
资金
- Australian Research Council Discovery [DP0343632]
- Natural Science and Engineering Research Council Discovery [8124-98]
- Australian Research Council [DP0343632] Funding Source: Australian Research Council
- Medical Research Council [MC_U145079306] Funding Source: researchfish
- MRC [MC_U145079306] Funding Source: UKRI
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 best-worst 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. (C) 2008 Elsevier Inc. All rights reserved.
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