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A Path Analytic Model of Socio-Psychological Attributes on the Performance of College Students in Mathematics
2021
Journal:  
Turkish Journal of Computer and Mathematics Education
Author:  
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.

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2021
Author:  
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Turkish Journal of Computer and Mathematics Education

Journal Type :   Uluslararası

Metrics
Article : 1.706
Cite : 100
2023 Impact : 0.071
Turkish Journal of Computer and Mathematics Education