Structural Equation Models assume homogeneity across the entire sample. In other words, all the units are supposed to be well represented by a unique model. Does not take into account heterogeneity among units may lead to biased results in terms of model parameters. That is why, nowadays, more attention is focused on techniques able to detect unobserved heterogeneity in Structural Equation Models. In particular, new techniques are been presented in PLS-PM framework, i.e. in a component-based Structural Equation Model framework. Among them REBUS-PLS is the unique that is completely coherent with the "soft" modeling spirit of PLS-PM. Here, a new index to assess detected unit partition will be presented: the Group Quality Index.
TRINCHERA, L. and ESPOSITO VINZI, V. (2008). Assessment of Latent Class Detection in Component-based Structural Equation Modeling: The Group Quality Index. In: First Joint Meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society. Edizioni Scientifiche Italiane, pp. 425-428.