The Concept Of Structural Equation Modeling (SEM)Technique of data analysis using Structural Equation Modeling (SEM), done to explain thoroughly the relationships between variables that exist in the research. SEM is used instead to design a theory, but rather is intended to examine and justify a model. Therefore, the main requirement of using SEM is building a model hypothesis which consists of structural models and models of measurements in the form of a path diagram based on the theory of justification. SEM is a set of statistical techniques that allow testing of a series of relationships simultaneously. That relationship was developed between one or more independent variables (Santoso, 2011). Two of the reasons underlying the use of SEM is (1) SEM has the ability to mengestimasi the relationships between variables that are multiple relationship. This relationship was formed in structural models (the relationship between the dependent and independent invalid constructs). (2) SEM has the ability to describe the pattern of the relationship between latent and manifest variables are invalid constructs or variable indicator
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