Research on student success has been highly influenced by Tinto’s integration theory in Europe and America. As part of my PhD research, I investigate the possible influence of the use of social media by first year students in higher education. Based on Tinto’s theory, the amount of variables is diminished by including only the best predictive variables. Hereby, avoiding the capitalization of chance and to establish a more easy to use model for teachers and management. In previous studies the latent variables ‘satisfaction’ was built by using a fraction of the original manifest variables and tested using principal component analysis to proof how the model could be simplified. In this paper I focus on the role of the use of social media, in particular Facebook, and enrich the model of Tinto for a better suit to the students’ contemporary society in the developed world. The principal analysis, on the use of Facebook, measured by purpose (information, education, social and leisure) and by the use of different pages amongst students, is also conducted in a previous study. However, the result of this study provided the different integration or engagement components, which now will be included in Tinto’s simplified model. For the principal component-analysis, internal consistency and the reliability will be shown by Cronbach’s alpha and Guttman’s lambda-2. For testing the fit of the model, SPSS AMOS is used and the normed fit index (NFI), the comparative fit index (CFI), the Tucker-Lewis Index (TLI) and the root mean square error of approximation (RMSEA) are calculated. Ultimately this paper will provide a better insight into what kind of influence social media can have upon student success.