Application of Multiple Linear Regression in Identifying Contributing Factors in Students’ Academic Achievement

DOI

10.2991/978-94-6463-014-5_32How to use a DOI?

Keywords

Academic achievement; Emotional intelligence; Intelligence; Multiple Regression

Abstract

Academic achievement is defined as the capacity to study, recall information or facts, and transmit knowledge in written or verbal form. It is one of the most essential measures of comprehension and learning in all educational systems. It is crucial to identify the factors that would affect students’ achievement to enhance their achievement in academics. Hence, this research was intended to determine the significant factors that contribute to educational success. This study included internal factors such as self-esteem, emotional intelligence, intelligence, and the students’ personalities, whereas parental education and household income were used as the external factors. Students’ academic success was measured using their cumulative grade point average. This study involved 327 final-year undergraduate students from the Faculty of Science and Natural Resources and was selected through a stratified sampling method. The data were analysed using stepwise multiple linear regression. Three regression models have been developed: the internal factors model, the external factors model, and the combined internal and external factors model. The three models were compared for the identification of significant contributing factors. The internal factors model exposed that self-esteem and intelligence were significant factors in educational achievement while the external factors model showed that only maternal education was a significant factor in students’ performance. The combined internal and external factors model discovered that maternal education together with self-esteem were significant factors affecting students’ achievement. The findings indicated that self-esteem, intelligence, and maternal education were significant factors in students’ learning outcomes. Therefore, it is highly recommended for the government to collaborate with university administration, educators, and parents to develop strategies or programs focusing on these three factors to improve students’ academic performance.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Dg Siti Nurisya Sahirah Binti Ag Isha
AU  - Siti Rahayu Binti Mohd Hashim
PY  - 2022
DA  - 2022/12/12
TI  - Application of Multiple Linear Regression in Identifying Contributing Factors in Students’ Academic Achievement
BT  - Proceedings of the International Conference on Mathematical Sciences and Statistics 2022 (ICMSS 2022)
PB  - Atlantis Press
SP  - 364
EP  - 377
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-014-5_32
DO  - 10.2991/978-94-6463-014-5_32
ID  - Isha2022
ER  -