MULTIVARIATE REGRESSION ANALYSIS OF FACTORS INFLUENCING STUDENTS’ MATHEMATICS ACHIEVEMENT
DOI:
https://doi.org/10.36563/9c2gnd53Keywords:
Machievement, Multivariate regression, parental education, digital technology, learning factorsAbstract
Mathematics achievement serves as a crucial indicator for assessing students’ logical reasoning, analytical thinking, and problem-solving abilities. However, students’ performance in mathematics is influenced by various internal and external factors. This study aims to analyze the impact of multiple factors on students’ mathematics achievement using a multivariate regression approach. The research involved 129 students from Satya Wacana Christian Junior High School, utilizing questionnaire responses and mid-semester test scores as the dependent variable. A total of 24 independent variables were examined, including demographic factors, family background, learning motivation, and learning environment. The regression analysis revealed a coefficient of determination of R² = 0.3983 and an adjusted R² = 0.1384, indicating that approximately 13.8% of the variance in mathematics performance could be explained by the variables in the model. Three factors were found to have a significant influence: mother’s education (β = +68.4431; p = 0.0138), father’s education (β = +44.981; p = 0.0230), and the availability of Wi-Fi at home (β = –17.8457; p = 0.0129). These findings highlight that parental educational background plays a pivotal role in supporting students’ academic success, whereas uncontrolled internet access may negatively affect learning outcomes. The study underscores the importance of family involvement in the educational process and the need for guidance in utilizing home internet access to foster effective learning.
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