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Reasonably carry out multivariate analysis: simple structural equation model analysis |
DOI:10.11886/scjsws20230925003 |
English keywords:Endogenous variables Exogenous variables Measurement model Structural model Variance-covariance matrix |
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The purpose of this article was to introduce the basic concepts, calculation methods, two examples and SAS implementation related to the structural equation model analysis. Basic concepts included composition of structural equation models, endogenous variables and exogenous variables, and three types of structural equation models; the calculation method involved the mathematical form of the structural equation model and the basic idea of fitting the structural equation model; the data in the two examples were "socio economic status of students'' parents and their performance" and "middle school students'' mathematics learning effectiveness data"; with the help of SAS software, the structural equation model analysis was conducted on the data in the two examples, and an explanation was given to the SAS output results. |
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