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A Stochastic Multidimensional Unfolding Approach for Representing Phased Decision Outcomes.
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DeSarbo, Wayne S.; And Others – Psychometrika, 1996
A stochastic multidimensional unfolding (MDU) procedure is presented to represent individual differences in phased or sequential decision processes spatially. A Monte Carlo analysis demonstrates estimation proficiency and the appropriateness of the proposed model selection heuristic, and an application to capture awareness, consideration, and…
Descriptors: Cognitive Processes, Consumer Economics, Decision Making, Estimation (Mathematics)