Model and Simulation of Structural Equations for Determining the Student Satisfaction

Abstract

Abstract Structural Equations Models (SEM) determine the dependence or independence relationship of the variables through the integration of linear equations. These models combine factorial analysis with linear regression to determine the data adjustment obtained with a proposed model by means of a path analysis, which represents the relationship between latent and observed variables. Observed variables are those that can be directly measured, usually through questionnaires. Latent variables are not directly measured and can be endogenous (dependent) or exogenous (independent). This research provides a model that allows to determine student satisfaction through the structural equations modeling by using the Technological Pedagogical Content Knowledge model (TPACK).