Allowing course compensation in higher education: a latent class regression analysis to evaluate performance on a follow-up course. Issue 5 (3rd July 2020)

• Record Type: Journal Article
• Authors: Yocarini, Iris E.; Bouwmeester, Samantha; Smeets, Guus; Arends, Lidia R.
• Is Part Of: Assessment & evaluation in higher education. Volume 45:Issue 5(2020)
• Page Start: 728
• Page End: 740
• Publication Date: 2020-07-03
• Subjects: Compensation -- higher education -- latent class regression -- academic performance; Education, Higher -- Evaluation -- Periodicals; 378
• DOI: 10.1080/02602938.2019.1693494
• Languages: English
• ISSNs: 0260-2938

Abstract

Abstract: In this study, the consequences of allowing course compensation in a higher education academic dismissal policy are evaluated by examining performance on a second-year follow-up (i.e. sequel) course that builds on material from a first-year precursor course. Up to now, differences in the consequences of compensation on student performance across groups of students who portray different unobserved study processes were not considered. In this study we used a latent class regression model to distinguish latent groups of students. Data from two undergraduate curricula were used and latent classes were formed based on similar patterns in averages, variability in grades, the number of compensated courses, and the number of retakes in the first year. Results show that students can be distinguished by three latent classes. Although the first-year precursor course is compensated in each of these latent classes, low performance on the precursor course results in low performance on the second-year sequel course for psychology students who belong to a class in which the average across first-year courses is low and the average number of compensated courses and retakes are high. For these students, compensation on a precursor course seems more likely to relate to insufficient performance on a sequel course.