Parsimonious Structural Equation Models for Repeated Measures Data, with Application to the Study of Consumer Preferences

Item Type Journal paper
Abstract

Recent research reflects a growing awareness of the value of using structural equation models to analyze repeated measures data. However, such data, particularly in the presence of covariates, often lead to models that either fit the data poorly, are exceedingly general and hard to interpret, or are specified in a manner that is highly data dependent. This article introduces methods for developing parsimonious models for such data. The underlying technology uses reduced-rank representations of the variances, covariances and means of observed and latent variables. The value of this approach, which may be implemented using standard structural equation modeling software, is illustrated in an application study aimed at understanding heterogeneous consumer preferences. In this application, the parsimonious representations characterize systematic relationships among consumer demographics, attitudes and preferences that would otherwise be undetected. The result is a model that is parsimonious, illuminating, and fits the data well, while keeping data dependence to a minimum.

Authors Elrod, Terry; Häubl, Gerald & Tipps, Steven
Journal or Publication Title Psychometrika
Language English
Subjects business studies
HSG Classification contribution to scientific community
Refereed Yes
Date April 2012
Publisher Springer Verlag
Place of Publication Heidelberg
Volume 77
Number 02
Page Range 358-387
Number of Pages 30
ISSN 0033-3123
ISSN-Digital 1860-0980
Publisher DOI 10.1007/s11336-012-9260-x
Depositing User Prof. Ph.D Gerald Häubl
Date Deposited 20 Feb 2013 19:53
Last Modified 23 Aug 2016 11:15
URI: https://www.alexandria.unisg.ch/publications/220719

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Citation

Elrod, Terry; Häubl, Gerald & Tipps, Steven (2012) Parsimonious Structural Equation Models for Repeated Measures Data, with Application to the Study of Consumer Preferences. Psychometrika, 77 (02). 358-387. ISSN 0033-3123

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https://www.alexandria.unisg.ch/id/eprint/220719
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