Structural Equation Modeling Sem: Concepts, Applications And Misconceptions

Structural Equation Modeling Sem: Concepts, Applications And Misconceptions
by Larry Rivera / / / PDF


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Structural Equation Modeling (SEM) is a general multivariate statistical analysis technique that can be used to investigate relationships between observed and latent variables. The chapters in this book propose a Bayesian approach based on SEM; an examination of predictors and outcomes related to school climate using latent class analysis and the testing of specific effects and contrasts in three types of mediation models followed by a discussion on the common types of mediation models and their different types of effects.

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