“…On the other hand, future studies must consider other socio-demographic and pre-university variables-many of them available in the databases of the universities themselves (e.g., family socioeconomic and educational level, preference, dedication to study, minority groups, modality of university access, entrance grade), and different characteristics, cognitive skills and motivational dimensions of the students (e.g., self-regulated learning, academic stress and coping strategies, social support, academic goals, personality) in order to obtain a more comprehensive view of student retention, increase capacity to predict academic success at university, improve services provided to students, and adjust interventions to the specific needs of different groups of subjects [10]. Lastly, other SCPQ psychometric characteristics should be studied with a longitudinal (time-related) perspective, including the temporal stability of the scale and the stability of the factor structure along time, a stability that is needed in order to make meaningful comparisons among time points (e.g., when psycho-educational intervention effects are to be analyzed) [38]. Moreover, in spite of the importance of having tools with contrasted validity and reliability to evaluate dimensions related to persistence in university studies, it should be kept in mind that both the theoretical models of reference and the requirements of psycho-educational intervention emphasize the need to consider temporal relations and cause-effect between variables.…”