Literature DB >> 11393902

Three-mode models for multivariate longitudinal data.

F J Oort1.   

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 for the analysis of multivariate longitudinal data. These so-called longitudinal three-mode models include autoregressive models and latent curve models as special cases. Empirical data from the field of industrial psychology are used in an example of how to test substantive hypotheses with the longitudinal, autoregressive and latent curve three-mode models.

Mesh:

Year:  2001        PMID: 11393902     DOI: 10.1348/000711001159429

Source DB:  PubMed          Journal:  Br J Math Stat Psychol        ISSN: 0007-1102            Impact factor:   3.380


  12 in total

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Authors:  Mathilde G E Verdam; Frans J Oort; Yvette M van der Linden; Mirjam A G Sprangers
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Review 7.  The analysis of multivariate longitudinal data: a review.

Authors:  Geert Verbeke; Steffen Fieuws; Geert Molenberghs; Marie Davidian
Journal:  Stat Methods Med Res       Date:  2012-04-20       Impact factor: 3.021

8.  Latent factor regression models for grouped outcomes.

Authors:  D B Woodard; T M T Love; S W Thurston; D Ruppert; S Sathyanarayana; S H Swan
Journal:  Biometrics       Date:  2013-07-11       Impact factor: 2.571

9.  Using structural equation modeling to detect response shift in performance and health-related quality of life scores of multiple sclerosis patients.

Authors:  Bellinda L King-Kallimanis; Frans J Oort; Sandra Nolte; Carolyn E Schwartz; Mirjam A G Sprangers
Journal:  Qual Life Res       Date:  2011-01-19       Impact factor: 4.147

10.  Measurement bias detection with Kronecker product restricted models for multivariate longitudinal data: an illustration with health-related quality of life data from thirteen measurement occasions.

Authors:  Mathilde G E Verdam; Frans J Oort
Journal:  Front Psychol       Date:  2014-09-23
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