Factors Affecting Academic Achievement Mathematics and Statistics in Everyday Life

Abstract

This study aims to examine the factors influencing academic achievement and to develop a predictive equation for factors affecting academic achievement in the Mathematics and Statistics in Everyday Life course. The sample consisted of 118 students enrolled in the second semester of the 2023 academic year, selected through simple random sampling. The instrument used was a 5-point Likert scale questionnaire, which demonstrated a reliability coefficient of 0.927. Data were analyzed using descriptive statistics and ordinal logistic regression analysis. The results indicated that all five factors learner related factors (X1), service and environmental factors (X2), instructor-related factors (X3), family-related factors (X4), and peer group factors (X5) had mean scores at a high level. Among these, the instructor-related factor received the highest mean score, followed by the family-related factor. However, regression analysis revealed that only two factors significantly influenced academic achievement at the 0.05 significance level: learner-related factors (X1) and instructor-related factors (X3). The learner-related factor had an odds ratio of 2.29, while the instructor-related factor had an odds ratio of 2.79, indicating that students with self-discipline and support from instructors were more likely to succeed academically. The predictive equation for academic achievement includes only the statistically significant variables, as detailed below. "log" (P(Y≤j)/P("Y > j" ) )=α_j "-0.828"("X1")"-1.025"("X3")