The accuracy of pre-programme predictors across types of academic success

Van Ooijen-van der Linden, L (Linda)1, Van Lin, R. P. T. (Roos)2, Woertman, L (Liesbeth)2, Van der Smagt, M. J. (Maarten)2
1Utrecht University/Amsterdam University of Applied Sciences
2Utrecht University, Nederland

 

Submission type

Oral only

Scheduled

Bouillonzaal, 26-09-2019, 11:00 - 12:00

Keywords

academic success; admission; selection; higher education; Signal Detection Theory

Summary

Psychology bachelor programmes are broad scientific programmes comprising both knowledge on behaviour and psychological theories and extensive research- and professional-skills training. Selective programmes need accurate, programme-specific predictions of academic success. 

We investigated, using a signal detection approach, whether our previously validated academic-success predictors (prior academic achievement, a programme-specific admission test score, a psychosocial score, and their combined score; van Ooijen-van der Linden et. al., 2017, 2018) differentially predicted specific types of academic success, in two psychology bachelor cohorts. Types of academic success were operationalised as theoretical-courses mean-grade, research-skills-courses mean-grade and professional-skills-courses mean-grade across the programme.

Results show that the most accurate predictions were for success in theoretical courses. This result may be intuitive, since both secondary and tertiary education, and the admission test, are more comparable in teaching and testing theoretical knowledge than in research skills and professional skills. 

However, focus groups with both students, their tutors as well as teachers, determined academic success to surpass both knowledge and skills as graded in courses, and to result primarily from reciprocal personal and collaborative efforts. Such comprehensive academic success requires a more process- and community-based approach of education, and thus of selection procedures as well.

 

 

Auteurs

Linda Van Ooijen-van der Linden

Roos Van Lin

Liesbeth Woertman

Maarten Van der Smagt