Individualized hybrid models for conjoint analysis

作者: Paul E. Green , Abba M. Krieger

DOI: 10.1287/MNSC.42.6.850

关键词:

摘要: Increasingly, conjoint analysts are being asked to design and analyze studies involving large numbers of attributes and/or attribute levels. Various types approaches, including bridging, Adaptive Conjoint Analysis, hybrid models have been proposed deal with the problem. This paper describes recent developments in modeling. Four described compared terms their performance an industry-based study entailing 15 product attributes. Comparisons made internal cross-validation, market share estimates, importances clustering, its relationship exogenous background variables. The also selected from transportation science literature. authors emphasize point that comparative model may strongly depend on ways which be used.

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