Synonyms
Definition
A latent variable path model (LVPM) is a statistical model of hypothesized relationships among a set of latent and observed variables. It is also known as a structural equation model or a simultaneous equations model.
Description
Health-related quality of life (HRQOL) is concerned with underlying constructs associated with one’s health. These constructs, which are subjective and cannot be measured directly, are called latent variables. However, they can be assessed by using the responses to a number of items that are associated with the constructs. These measured variables are also known as observed, indicator, or manifest variables.
Interest in studying the relationships among latent constructs and measured items has motivated the use of LVPMs in quality of life research. An LVPM may be expressed graphically in the form of a path diagram or mathematically as a set of simultaneous equations. The path diagram developed in 1920 (Wright, 1921) by Wright, a...
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References
Bentler, P. M. (1980). Multivariate-analysis with latent-variables – Causal-modeling. Annual Review of Psychology, 31, 419–456.
Brown, T. A. (2006). Confirmatory factor analysis for applied research. New York: Guilford Press.
Duncan, T. E., Duncan, S. C., & Strycker, L. A. (2006). An introduction to latent variable growth curve modeling: Concepts, issues, and applications (2nd ed.). Mahwah, NJ: Lawrence Erlbaum Associates.
Fong, D. Y., Lam, C. L., Mak, K. K., Lo, W. S., Lai, Y. K., Ho, S. Y., et al. (2010). The Short Form-12 Health Survey was a valid instrument in Chinese adolescents. Journal of Clinical Epidemiology, 63, 1020–1029.
Freedman, D. (1999). From association to causation: Some remarks on the history of statistics. Statistical Science, 4, 243–258.
Galton, F., & Dickson, J. D. H. (1886). Family likeness in stature. Proceedings of the Royal Society of London, 40, 42–73.
Joreskog, K. G. (1973). A general method for estimating a linear structural equation system. In A. S. Goldberger & O. D. Duncan (Eds.), Structure equation models in social sciences (pp. 85–112). New York: Seminar Press.
Wright, S. (1921). Correlation and causation. Journal of Agricultural Research, 20, 557–585.
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Fong, D.Y.T. (2014). Latent Variable Path Models. In: Michalos, A.C. (eds) Encyclopedia of Quality of Life and Well-Being Research. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0753-5_1606
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DOI: https://doi.org/10.1007/978-94-007-0753-5_1606
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