Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/27607
Title: Use of structural equation modeling in human development research
Authors: Shek, DTL 
Yu, L 
Keywords: Human development
Latent variables analyses
Research methods
Structural equation modeling
Issue Date: 2014
Publisher: Walter de Gruyter GmbH
Source: International journal on disability and human development, 2014, v. 13, no. 2, p. 157-167 How to cite?
Journal: International journal on disability and human development 
Abstract: In social sciences, it is common to hypothesize that latent factors (e.g., psychological well-being) underlie the observed variables (e.g., depression and risk behavior). Hence, it is important to examine the nature of latent variables, the inter-relationships among such variables, and their associations with other predictors and outcome variables. These latent variable-related issues can be well addressed by adopting the approach of structural equation modeling. Apart from describing the use of structural equation modeling in research on human development, this paper also presents the assumptions underlying structural equation modeling, steps of model construction and model assessment, and both the strengths and limitations of this method in human development research. Finally, some examples using structural equation modeling in the Chinese contexts are also illustrated.
URI: http://hdl.handle.net/10397/27607
ISSN: 2191-1231
EISSN: 2191-0367
DOI: 10.1515/ijdhd-2014-0302
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