International Journal of Education, Learning and Development (IJELD)

EA Journals

Student-Level, Classroom-Level and School-Level Factors as Predictors of Undergraduate Mathematics Students’ Achievement in Vector Analysis

Abstract

This study investigates student-level, classroom-level, and school-level factors that predict students’ achievement scores in vector analysis, and determines the achievement score of students using the regression equation. A total of 243 third-year undergraduate mathematics students from a university in Ghana, participated in the study. The study adopted a correlational design with a multiple regression model, to identify significant predictors. For model 1, the student-level factors explained 56.0% of the variance (R2=.56, F (36,206) =133.06, p < .05), with fourteen significant predictors.  For model 2, the student-level and classroom-level factors explained 61.0% of the variance (R2=.61, F (39,203) =124.92, p <.05), with fifteen significant predictors. For model 3, the student-level, classroom-level and school-level factors explained 62.0% of the variance (R2=.62, F (41,201) =120.86, p <.05), with sixteen significant predictors. The study concludes that students whose parents’ educational level and socio-economic status are high, have a greater chance of improving their mathematics achievement scores.

Citation: Charles K. Assuah (2021) Student-Level, Classroom-Level and School-Level Factors as Predictors of Undergraduate Mathematics Students’ Achievement in Vector Analysis, International Journal of Education, Learning and Development, Vol. 9, No.7, pp.16-37

Keywords: Achievement, correlational design, predictors, variance

cc logo

This work by European American Journals is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License

 

Recent Publications

Email ID: editor.ijeld@ea-journals.org
Impact Factor: 7.96
Print ISSN: 2054-6297
Online ISSN: 2054-6300
DOI: https://doi.org/10.37745/ijeld.2013

Author Guidelines
Submit Papers
Review Status

 

Scroll to Top

Don't miss any Call For Paper update from EA Journals

Fill up the form below and get notified everytime we call for new submissions for our journals.