Prediction of early dropout in higher education using the SCPQ
Metadatos
Afficher la notice complèteEditorial
Taylor & Francis
Materia
Higher education Student retention Students dropout
Date
2022-09-15Referencia bibliográfica
Emilio Jesús Lizarte Simón & José Gijón Puerta (2022) Prediction of early dropout in higher education using the SCPQ, Cogent Psychology, 9:1, 2123588, DOI: [10.1080/23311908.2022.2123588]
Patrocinador
Scholarship for the training of university teachers through the Doctoral Thesis - Analisis del abandono de los estudios en la Universidad de Granada; El caso de la Facultad de Ciencias de la EducacionRésumé
There is enormous concern at the international level vis-à-vis the retention
of students in universities. Given that dropout rates and their social repercussions
are causing great concern worldwide, researchers have been examining this
issue to establish models to predict early dropout and to guide actions to support
students who are at risk of dropping out. In this paper, we present a study we
carried out at the University of Granada in which the risk of first-year students
dropping out was analyzed by administering the College Persistence Questionnaire
(CPQ v2) to 701 students who began their studies in the 2018/19 academic year. The
data pertained to persisting at the institution one year later. The results indicated
significant differences within the dimensions of academic and social integration,
degree commitment, collegiate stress, academic advising and motivation, scholastic
conscientiousness, institutional commitment, financial strain, and academic
efficacy. These results align with a wide range of national and international studies.