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tionship in quantitative study )– Spearman: 因素分析( factor analysis)– Thurston:最簡化結(jié)構(gòu)( simple structure) – J246。reskog與 Lawley:最大概率模式( maximum likelihood) n 生物與經(jīng)濟(jì)計量根源 – Wright: path analysis– Haavelmo:聯(lián)立方程式分析( simultaneous equation)5Applications of SEMn Confirmatory factor analysis (M1) n Path analysis (M2)n Structural regression analysis (M3)n Timedependent/longitudinal data (M4)n Recursive and nonrecursive models for crosssectional datan Covariance structure modelsn Multisample analysis n Multilevel analysis6Four Basic Model of SEM ICFA model7Four Basic Model of SEM IIPath Analysis model8Four Basic Model of SEM IIIStructural Regression model9Four Basic Model of SEM IVLatent Change model10Features of SEMn SEM具有理論先驗性n SEM同時兼具觀察變項與潛在變項 n