JSM 2005 Online Program

Abstract #304407

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	437
Type:	Topic Contributed
Date/Time:	Wednesday, August 10, 2005 : 2:00 PM to 3:50 PM
Sponsor:	Biometrics Section
Abstract - #304407
Title:	Three-mode Models for Multivariate Longitudinal Data of Multiple Groups
Author(s):	Frans J. Oort*+
Companies:	University of Amsterdam
Address:	Medical Psychology, Amsterdam, 1105AZ, Netherlands
Keywords:	multivariate longitudinal data ; three-mode models ; structural equation modeling
Abstract:	Multivariate longitudinal data are characterized by three modes: variables, occasions, and subjects. Three-mode models are described as special cases of a linear latent variable model. The assumption of measurement invariance across occasions yields three-mode models that are suited to the analysis of multivariate longitudinal data. These so-called longitudinal three-mode models include autoregressive models and latent curve models as special cases. With multigroup data, the assumption of measurement invariance across groups enables across-group comparisons of factor means, variances, and covariances. Empirical data from the field of medical psychology are used in an example of modeling multigroup data with varying numbers of occasions (8 indicators of health were measured 13 times for 682 patients, 6 times for 203 patients, and 3 times for 144 patients).

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