Modeling Dynamic Effects in Repeated-Measures Experiments Involving Preference/Choice: An Illustration Involving Stated Preference Analysis

Applied Psychological Measurement, vol. 28 no. 3, pp. 186-209, 2004

Posted: 11 Jun 2016

See all articles by Wayne S. DeSarbo

Wayne S. DeSarbo

Pennsylvania State University

Donald R. Lehmann

Columbia Business School - Marketing

Frances Galliano Hollman

Pennsylvania State University

Date Written: May 1, 2004

Abstract

Preference structures that underlie survey or experimental responses may systematically vary during the administration of such measurement.Maturation, learning, fatigue, and response strategy shifts may all affect the sequential elicitation of respondent preferences at different points in the survey or experiment. The consequence of this phenomenon is that responses and effects can vary systematically within the dataset. To capture these structural changes, the authors present a maximum likelihood-based change-point multiple regression methodology that explicitly detects discrete structural changes at various points in time/sequence in regression coefficients by simultaneously estimating the number of change points, their location and duration in the sequence of data points, and the respective regression coefficients for each subset of the data defined by the change points. An application involving a stated preference or conjoint analyses study of student apartment choices illustrates that the structure of preferences changes significantly over the sequence of profile responses.

Keywords: preference/choice experiments, behavioral decision making, maximum likelihood estimation, models of structural change, conjoint analysis, consumer psychology

Suggested Citation

DeSarbo, Wayne S. and Lehmann, Donald R. and Hollman, Frances Galliano, Modeling Dynamic Effects in Repeated-Measures Experiments Involving Preference/Choice: An Illustration Involving Stated Preference Analysis (May 1, 2004). Applied Psychological Measurement, vol. 28 no. 3, pp. 186-209, 2004, Available at SSRN: https://ssrn.com/abstract=2793174

Wayne S. DeSarbo (Contact Author)

Pennsylvania State University ( email )

University Park
State College, PA 16802
United States

Donald R. Lehmann

Columbia Business School - Marketing ( email )

New York, NY 10027
United States

Frances Galliano Hollman

Pennsylvania State University ( email )

University Park
State College, PA 16802
United States

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