Author Identifier
Ross Hollett
https://orcid.org/0000-0001-7146-3879
Shinae Milligan
https://orcid.org/0000-0002-0039-6848
Paul Chang
Document Type
Journal Article
Publication Title
Learning and Individual Differences
Publisher
Elsevier
School
School of Arts and Humanities
RAS ID
31808
Funders
Edith Cowan University - Open Access Support Scheme 2020
Edith Cowan University School of Arts and Humanities Research Grant
Abstract
Some research suggests that university lecture attendance positively correlates with academic performance. Although there are several motivational pathways which may explain attendance, few studies have examined the psychosocial factors leading to student attendance intentions and behavior. Consequently, we evaluated via structural equation modeling (SEM) two prominent motivational theories to help explain lecture attendance: Self-Determination Theory (SDT) and The Theory of Planned Behavior (TPB). Undergraduates (N = 288) from two universities completed pre-semester motivation measurements and post-semester estimates of attendance. Student grades were also examined. SDT was not found to be an accurate model of attendance intentions or behavior. By contrast, TPB was found to be an adequate model to help explain attendance intentions and behavior. Lecture attendance did not significantly correlate with grades. If educators and students are committed to increasing lecture attendance rates, our findings suggest that the enhancement of perceived behavioral control, as well as optimistic intentions, may yield the greatest benefits with respect to students meeting their lecture attendance expectations.
DOI
10.1016/j.lindif.2020.101907
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Comments
Hollett, R. C., Gignac, G. E., Milligan, S., & Chang, P. (2020). Explaining lecture attendance behavior via structural equation modeling: Self-Determination Theory and the Theory of Planned Behavior. Learning and Individual Differences, 81, Article 101907.
https://doi.org/10.1016/j.lindif.2020.101907