Research

Application of structural equation models to quality of life


Reference:

Lee, S. Y., Song, X. Y., Skevington, S. and Hao, Y. T., 2005. Application of structural equation models to quality of life. Structural Equation Modeling - a Multidisciplinary Journal, 12 (3), pp. 435-453.

Related documents:

This repository does not currently have the full-text of this item.
You may be able to access a copy if URLs are provided below.

Official URL:

http://dx.doi.org/10.1207/s15328007sem1203_5

Abstract

Quality of life (QOL) has become an important concept for health care. As QOL is a multidimensional concept that is best evaluated by a number of latent constructs, it is well recognized that latent variable models, such as exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) are useful tools for analyzing QOL data. Recently, QOL researchers have realized the potential of structural equation modeling (SEM), which is a generalization of EFA and CFA in formulating a regression type equation in the model for studying the effects of the latent constructs to the QOL or health-related QOL. However, as the items in a QOL questionnaire are usually measured on an ordinal categorical scale, standard methods in SEM that are based on the normal distribution may produce misleading results. In this article, we propose an approach that uses a threshold specification to handle the ordinal categorical variables. Then, on the basis of observed ordinal categorical data, a maximum likelihood (ML) approach for analyzing CFA and SEM is introduced. This approach produces the NIL estimates of the parameters, estimates of the scores of latent constructs, and the Bayesian information criterion for model comparison. The methodologies are illustrated with a dataset that was obtained from the WHOQOL group.

Details

Item Type Articles
CreatorsLee, S. Y., Song, X. Y., Skevington, S. and Hao, Y. T.
DOI10.1207/s15328007sem1203_5
DepartmentsFaculty of Humanities & Social Sciences > Psychology
RefereedYes
StatusPublished
ID Code9453
Additional InformationID number: ISI:000230289700005

Export

Actions (login required)

View Item