Conceptual and Practical Approach to Structural Equations Modeling

• Autores: Medrano, Leonardo Adrián, Muñoz-Navarro, Roger
• Formato: artículo
• Fecha de Publicación: 2017
• Institución: Universidad Peruana de Ciencias Aplicadas
• Repositorio: Revistas - Universidad Peruana de Ciencias Aplicadas
• Lenguaje: español; inglés
• OAI Identifier: oai:ojs.revistas.upc.edu.pe:article/486
• Enlace del recurso: https://revistas.upc.edu.pe/index.php/docencia/article/view/486
• Nivel de acceso: acceso abierto
• Materia: Modelos de Ecuaciones Estructurales; AMOS; análisis factorial; regresión múltiple; Modelos de Equações Estruturais; análise fatorial; regressão múltipla

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.