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Autor/inn/enDeSarbo, Wayne S.; Lehmann, Donald R.; Hollman, Frances Galliano
TitelModeling Dynamic Effects in Repeated-Measures Experiments Involving Preference/Choice: An Illustration Involving Stated Preference Analysis
QuelleIn: Applied Psychological Measurement, 28 (2004) 3, S.186-209 (24 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0146-6216
DOI10.1177/0146621604264150
SchlagwörterMaximum Likelihood Statistics; Response Style (Tests); Evaluation Methods; Responses; Multiple Regression Analysis; Change; Computation; Decision Making; College Students
AbstractPreference structures that underline a 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 data set. 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 co-efficients by simultaneously estimating the number of change points, their location and duration in the sequence of data points, and the respective regression co-efficients 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 profiler responses. (ERIC).
AnmerkungenSAGE Publications, 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243 (Toll Free); Fax: 800-583-2665 (Toll Free).
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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