A powerful technique for combining complex path models with latent variables

Abstract

[EN] This article presents the use of Structural Equation Modeling (SEM) as a powerful technique for combining complex path models with latent variables. A case study is introduced together the estimation technique, the measurement scales, the hypothesis needed to relate the variables and the problems concerning the assessment and improvement of the model fit. The theoretical framework allows analyzing the relationships among the variables, which provides effective strategies in the decision-making process and problem solving.