Students Performance Factors
Published: 5 August 2026| Version 1 | DOI: 10.17632/g94zzvpkk7.1
Contributor:
EDILMAR MASUHAYDescription
The study utilizes a synthetic Kaggle dataset of 6,607 students to demonstrate multivariate techniques, characterized by zero missing values and high symmetry between mean and median values [Table 1]. The dataset includes exam scores, attendance, and study hours as dependent variables, alongside predictors like motivation and family income, making it suitable for MANOVA/MANCOVA analysis [3.3].The dataset is described as a high-quality, balanced, and synthetic academic performance dataset.
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Institutions
- Caraga State UniversityCaraga, Butuan
- Surigao del Norte State UniversityCaraga, Surigao City
Categories
Mathematics Education, Psychology of Mathematics Education, Research in Mathematics Education