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Abbreviated Task Sets

Estimating Disaggregate Choice Models With Extremely Few Tasks Per Respondent

The author examines four commercial data sets to determine how few choice tasks and/or how few respondents are required for generating reasonably accurate disaggregate utilities when Hierarchical Bayes utility estimation is employed.  The author demonstrates that, in carefully  designed and analyzed studies, as few  as one to four choice tasks  per respondent can yield accurate disaggregate choice models.

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