This paper's aim is to discuss some applications of structural equation modeling (SEM) to psychological research. SEM integrates factor and path analysis techniques, making possible the analysis of latent variables (theoretical constructs) and the estimation of relations between those variables, simultaneously in a single model. In addition, SEM allows for the estimation of goodness of fit between specific theoretical postulates of a psychological model, and data used to test such model. Because of these features, structural models allow for: a) building latent variables from observed indicators, b) testing the psychometric properties (reliability, validity) of instruments expected to assess such latent variables, c) estimating hypotheses regarding relations between latent variables, and d) determining the pertinence (goodness of fit) of a theoretical model representing relations among behavioral variables. These applications are illustrated by using data from a study on environmental-conservation behavior. It is concluded that the use of structural equation modeling will positively affect psychological research in the close future.
|Translated title of the contribution
|Applications of structural equation modeling to psychological research
|Number of pages
|Revista Mexicana de Psicologia
|Published - 2001