A Path Analytic Model of Socio-Psychological Attributes on the Performance of College Students in Mathematics
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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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