Abstract
Structural equation modelling (SEM) and its set of methodologies has been in use in the social sciences since the 1970s, as a means to analyse the structural relationships between some measured variables and latent constructs, beyond the most obvious cause-effect relationships. In time, it has become an industrial tool applied to confirming research results, developing new or existing products and explaining a certain phenomenon. Until now, it has been a way to organise and extract meaning from surveys and questionnaires: entailing analysis on limited data-sets and prompted reactions to fixed questionnaires, or conditions in a short time-frame. We have...