Structural Equation Modeling in Educational Research

Yo In’nami · Rie Koizumi

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Psychometric Methodologies and Testing Statistical Methods and Bayesian Inference Educational Research and Methods

Abstract

Structural equation modeling (SEM) is a collection of statistical methods for modeling the multivariate relationship between variables. It is also called covariance structure analysis or simultaneous equation modeling and is often considered an integration of regression and factor analysis.

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1999Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives 2012Principles and Practice of Structural Equation Modeling 1975Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research 1998Principles and Practice of Structural Equation Modeling 1980Understanding Attitudes and Predicting Social Behavior 2000Structural equation modeling with AMOS: basic concepts, applications, and programming 1989Structural Equations with Latent Variables 1991Structural Equations with Latent Variables.

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