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Latent variable models are network models

Published online by Cambridge University Press:  29 June 2010

Peter C. M. Molenaar
Peter C. M. Molenaar
Affiliation:
Department of Human Development and Family Studies, College of Health and Human Development, Pennsylvania State University, University Park, PA 16802. pxm21@psu.edu http://www.hhdev.psu.edu/hdfs/faculty/molenaar.html
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Abstract

Cramer et al. present an original and interesting network perspective on comorbidity and contrast this perspective with a more traditional interpretation of comorbidity in terms of latent variable theory. My commentary focuses on the relationship between the two perspectives; that is, it aims to qualify the presumed contrast between interpretations in terms of networks and latent variables.

Information

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 33 , Issue 2-3 , June 2010 , pp. 166
Copyright
Copyright © Cambridge University Press 2010

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References

Molenaar, P. C. M. (2003) State space techniques in structural equation modeling: Transformation of latent variables in and out of latent variable models. Unpublished manuscript, University of Amsterdam. Available at: http://www.hhdev.psu.edu/hdfs/faculty/docs/StateSpaceTechniques.pdf.Google Scholar
Molenaar, P. C. M., van, Rijn, P. & Hamaker, E. (2007) A new class of SEM model equivalences and its implications. Data analytic techniques for dynamical systems, ed. Boker, S. M. & Wenger, M. J., pp. 189–211. Erlbaum.Google Scholar