The potentials of factor analysis are summarily to reveal underlying factor structures, test the theory of analytic user-centric models, and demonstrate their causal relationships. Its common applicative types are: Exploratory, confirmatory and structural equation modelling techniques. This paper, underscores it basically due to its multidimensional and multivariate data analytic knack. Analytically, it manages the multidimensionality of user -centric data and yet present s replicable result. Therefore, o ur enthusiasm hopefully is to whet the appetite of IS researche rs, particularly those that are engaged in user -centric evaluative research in a way that motivates them t o pursue additional knowledge about the technique. However, this technique has matured in other related fields , such as: The C ognitive and Behavioural sciences, H uman Computer Interaction and Psychology from where IS draws from in terms of user - related studies. This is not yet the case in IS. An algorithmic like framework i s therefore introduced, and its use to assess an IS with the purpose of underscoring the use of the FA methodology is reported in fulfillment of the aim of this paper. As a result, a m easurement model is presented. The use of the FA technique is therefore recommended based on the degree of validity and reliability demonstrated by the model, which is significantly replicable.