A Path Analytic Model of Socio-Psychological Attributes on the Performance of College Students in Mathematics
Main Article Content
Abstract
This paper used path analysis in determining the best causal model of the mathematics performance of the students.
The participants of the study were non-math major college students of Bukidnon State University. The results revealed that
paths of students’ engagement, self-efficacy, math anxiety, and math attitude to their mathematics performance are significant.
Furthermore, all attributes have indirect path to the mathematics performance except for the students’ engagement. Based on
the results, students’ engagement, self-efficacy, and mathematics attitude have a positive effect on the students’ mathematics
performance. However, mathematics anxiety can negatively affect the students’ performance in mathematics.
Downloads
Metrics
Article Details
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.