Transcription of Introduction to Structural Equation Modeling
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Introduction to Structural Equation Modeling
Introduction to Structural Equation Modeling Petri Nokelainen Research Centre for Vocational Education University of Tampere Structural Equation Modeling (SEM), as a concept, is a combination of statistical techniques such as exploratory factor analysis and multiple regression. The purpose of SEM is to examine a set of relationships between one or more Independent Variables (IV) and one or more Dependent Variables (DV). Both IVs and DVs can be continuous or discrete. Independent variables are usually considered either predictor or causal variables because they predict or cause the dependent variables (the response or outcome variables). Structural Equation Modeling is also known as causal Modeling or analysis of covariance structures.
Introduction to Structural Equation Modeling Petri Nokelainen Research Centre for Vocational Education University of Tampere Structural equation modeling (SEM), …
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