Use of structural equation modeling in human development research

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review

Abstract

In social sciences, it is common to hypothesize that latent factors (such as psychological well-being) underlie the observed variables (such as 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 predictor as well as outcome variables. These latent variable-related issues can be well addressed by adopting the approach of structural equation modeling. In this chapter, the use of structural equation modeling in research on human development is described. 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 are described. Finally, some examples using structural equation modeling in the Chinese contexts are also illustrated.
Original languageEnglish
Title of host publicationHuman Developmental Research
Subtitle of host publicationExperience from Research in Hong Kong
PublisherNova Science Publishers, Inc.
Pages3-19
Number of pages17
ISBN (Electronic)9781628081671
ISBN (Print)9781628081664
Publication statusPublished - 1 Jan 2014

ASJC Scopus subject areas

  • Social Sciences(all)

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