@article{Medrano_Muñoz-Navarro_2017, title={Conceptual and Practical Approach to Structural Equations Modeling}, volume={11}, url={https://revistas.upc.edu.pe/index.php/docencia/article/view/486}, DOI={10.19083/ridu.11.486}, abstractNote={<p>This methodological article explains a conceptual and practical approach to Structural Equation Models or Structural Equation Modeling (SEM). SEMs are considered among the most powerful tools for the study of causal relationships in non-experimental data. They are a combination of factor analysis and multiple regression and are composed of two components: the measurement model and the structural model. The measurement model describes the relationship between a series of observable variables; while in the structural model the relationships between variables are hypothesized; i.e., the relationships between latent variables are described with the use of arrows. Performing a SEM involves five stages: (1) A specification of the Model; (2) Identification of the Model; (3) Estimation of the Model; (4) Evaluation of the Model and (5) Re-specification of the Model. This article provides a series of guidelines on “best practices” for SEM analysis, with examples using the AMOS program.</p>}, number={1}, journal={Revista Digital de Investigación en Docencia Universitaria [Digital Journal of University Teaching Research]}, author={Medrano, Leonardo Adrián and Muñoz-Navarro, Roger}, year={2017}, month={May}, pages={219–239} }