Prediction of early dropout in higher education using the SCPQ

There is enormous concern at the international level vis-à-vis retention of students in universities. Given that dropout rates and their social repercussions are causing great worldwide, researchers have been examining this issue to establish models predict early guide actions support who risk dropping out. In paper, we present a study carried out University Granada which first-year was analyzed by administering College Persistence Questionnaire (CPQ v2) 701 began studies 2018/19 academic year. The data pertained persisting institution one year later. results indicated significant differences within dimensions integration, degree commitment, collegiate stress, advising motivation, scholastic conscientiousness, institutional financial strain, efficacy. These align with wide range national studies.