出版社：Fundación Científica y Tecnológica de la Asociación Chilena
摘要：This paper presents a sequence of mathematical-statistical models useful for describing several variables ( answers and descriptors) which allows the analysis of a phenomenon of interest, taking into account the structure of covariances existing among them. The relationships among descriptive variables make multiple linear regression type modeling difficult. Additionally, some of the variables considered as possible descriptors of the answers of interest may reflect an underlying factor or latent variable. This complexity, which goes from a linear equations system to a trajectory analysis and from there to a structural equation model requires, for having a translation into a parsimonious model, a specific computational support. As with any process of statistical modeling, it is essential to give maximum importance to the knowledge of the theory of application area, since from this knowledge the putting forward and validation of realistic hypotheses will arise.
