Modelling with heterogeneity
Document typeConference report
Rights accessRestricted access - publisher's policy
We present in this paper a methodology to deal with heterogeneity in modelling when the sources are unknown. Although the approach is general we present it for the PLS-PM latent variable modelling. We call such approach PATHMOX. The idea behind PATHMOX is to build a path models tree having a binary decision tree look-alike structure with models for different segments in each of its nodes. The split criterion consists in an F statistic for comparing structural models based on testing the equality of the path coefficients. We emphasize the rationale of such approach and its limitations. Finally we present an application to an Alumni Satisfaction survey.
CitationAluja, T.; Giuseppe Lamberti; Gastón Sanchez. Modelling with heterogeneity. A: Convegno annuale della Società Italiana di Statistica. "SIS 2013 Statistical Conference. Advances in Latent Variables - Methods, Models and Applications. Brescia, June 19, 2013 – June 21, 2013". Brescia: 2013, p. 1-8.
ISBN978 88 343 2556 8