Evolutionary Preference/Utility Functions: A Dynamic Perspective

Autor/inn/en	DeSarbo, Wayne S.; Fong, Duncan K. H.; Liechty, John; Coupland, Jennifer Chang
Titel	Evolutionary Preference/Utility Functions: A Dynamic Perspective
Quelle	In: Psychometrika, 70 (2005) 1, S.179-202 (24 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0033-3123
Schlagwörter	Psychological Studies; Bayesian Statistics; Data Collection; Research Methodology + Suchen Sie Ihr Suchwort? Data capture; Datensammlung; Research method; Forschungsmethode
Abstract	The collection of repeated measures in psychological research is one of the most common data collection formats employed in survey and experimental research. The behavioral decision theory literature documents the existence of the dynamic evolution of preferences that occur over time and experience due to learning, exposure to additional information, fatigue, cognitive storage limitations, etc. We introduce a Bayesian dynamic linear methodology employing an empirical Bayes estimation framework that permits the detection and modeling of such potential changes to the underlying preference/utility structure of the respondent. An illustration of revealed/stated preference analysis (i.e., conjoint analysis) is given involving students' preferences for apartments and their underlying attributes and features. We also present the results of several simulations demonstrating the ability of the proposed procedure to recover a variety of different sources of dynamics that may surface with preference elicitation over repeated/sequential measurement. Finally, directions for future research are discussed. (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10