*4.1. Descriptive Analysis*

Going into detail concerning with the multivariate regression analysis and the qualitative technique, we will carry out a descriptive analysis of the sample in order to present a general view of its make-up and show the main relationships between variables and their significance for the population.

As shown in Table 2, there are 46.5% men and 53.5% women. This percentage is in line with the gender balance distribution at Malaga University.


**Table 2.** Demographic factors.

The research was aimed at equally distributed students in the Business and Management and Non-Business and Management areas, precisely to overcome the gap in the literature, and mainly focusing on students participating in Business and Management faculties and the Economic and Business Sciences Faculties, totalling 42% vs. 58%.

All the degree courses selected contained material on business creation as part of the study programme. Nevertheless, one very important fact should be highlighted: Entrepreneurship is usually a compulsory subject in the last year and the sample contained students from different years. Consequently, there are students that have not taken that subject and, some students may even have taken it as an option or supplementary activity which fosters the entrepreneurial spirit organised by the university. In that case, a pre-existing inclination towards entrepreneurship is assumed [63]. In any event, the participation in this programme was open and the invitation was clearly identified as training entrepreneurial competences and not specifically to create businesses.

Table 3 shows the composition of the focus groups. The typological representativeness was sought with the presence of the different profiles and is correlated with the number of participants of each group in the whole project.


**Table 3.** Demographics factors of focus groups participants.
