Principles and Practice of Structural Equation Modeling

African American analyzed approximate fit indexes assumed assumptions calculated causal effects causal indicators CFA model chapter chi-square computer tools conditional independences confidence interval correlation residuals corresponding covariance matrix d-separated data in Table described direct effect distributions disturbance variance endogenous variables error correlations error terms error variance evaluate example Exercise exogenous factor analysis fit statistics free parameters global fit graph hypothesis identified indirect intercept latent growth factors latent response variables latent variables linear LISREL mean structure measurement error measurement model mediation model in Figure Mplus multiple nonrecursive models normal normal distributions null hypothesis observed variables option outcome pair parameter estimates polychoric predicted predictors represented requires researcher respecified RMSEA Rule scale scores significance tests specified standard deviations standard errors standardized coefficients statistical significance structural equation modeling structural model syntax tion total effect Trial turnover intention unexplained variance values zero