Multivariate Analysis on The Effect of Grade Level and Sex on The Learning Motivation in Mathematics Among Junior High School Learners

This paper examined the effect of the learner’s grade level and sex on their learning motivation in mathematics. The study adapted the Mathematics Motivation Questionnaire (MMQ) and was administered to 159 junior high school students in Siquijor State College. The data were analysed using the Statistical Package for Social Sciences (SPSS) version 21. Multivariate Analysis of Variance (MANOVA) was used to determine whether multiple levels of independent variables on their own or in combination with one another influence the dependent variables. Results of the study revealed significant effect of grade level and sex on the student’s learning motivation in mathematics. Likewise, the study elaborated that the combined effect of grade level and sex is statistically significant. The study recommends for the development of interventions and educational policies that foster a positive learning experience and encourage a lifelong appreciation of mathematics, regardless of grade level and sex.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-03
DOI
https://doi.org/10.5281/zenodo.15128938
Primary Topic
Education, Achievement, and Giftedness
Type
article
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article

Multivariate Analysis on The Effect of Grade Level and Sex on The Learning Motivation in Mathematics Among Junior High School Learners

Zenodo (CERN European Organization for Nuclear Research)
Education, Achievement, and Giftedness
article

Multivariate Analysis on The Effect of Grade Level and Sex on The Learning Motivation in Mathematics Among Junior High School Learners

article en

Abstract

This paper examined the effect of the learner’s grade level and sex on their learning motivation in mathematics. The study adapted the Mathematics Motivation Questionnaire (MMQ) and was administered to 159 junior high school students in Siquijor State College. The data were analysed using the Statistical Package for Social Sciences (SPSS) version 21. Multivariate Analysis of Variance (MANOVA) was used to determine whether multiple levels of independent variables on their own or in combination with one another influence the dependent variables. Results of the study revealed significant effect of grade level and sex on the student’s learning motivation in mathematics. Likewise, the study elaborated that the combined effect of grade level and sex is statistically significant. The study recommends for the development of interventions and educational policies that foster a positive learning experience and encourage a lifelong appreciation of mathematics, regardless of grade level and sex.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 50%
Education, Achievement, and Giftedness
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Multivariate Analysis on The Effect of Grade Level and Sex on The Learning Motivation in Mathematics Among Junior High School Learners · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS