Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Effect of Instructor Quality and Availability on Ghanaian Students’ Interest in Mathematics Using Regression and Principal Component Analysis

Domaine:

education

Type de record:

paper
Créateur:
ArtAsiAss
Éditeur:
DepDep
Éditeur:
CCSDSCI
Hôte:avatar
International audience The study investigated the effect of instructor quality and availability on Ghanaian students’ interest in Mathematics. The study used structured questionnaire to randomly select 1,263 students from 10 public secondary schools in the Ashanti Region of Ghana. The study performed principal component analysis on the instructor quality and availability construct as well as regression analysis to ascertain the contribution of instructor quality on students’ interest development. Here, the results showed that the instructor quality construct with Cronbach’s alpha value of 0.699 can be further categorized into two principal components with the first component explaining 41.7% while the second component explains 12.8% with a total cumulative variance of 54.5%. The results from the multiple regression analysis showed significant (p<0.0001) in predicting students’ interest in Mathematics. The model could predict 7.4% of the variability in students’ interest in Mathematics. The study finally concluded that students’ interest in Mathematics can be enhanced through quality of instruction and availability of qualified instructors. The study recommends to the education ministry to take cognizance of the result in their recruitment of Mathematics teachers for the various levels of education especially in the first and second cycle schools.

Visit

hal.science

Languages

Asante

Tags

[SHS]Humanities and Social Sciences

Similaires

Effect of Kinesthetic Learning on Students’ Interest and Achievement in MathematicsUsing Principal Component Analysis and Logistics Regression to Model Major Types of Cancer among YouthInfluence of Students’ Learning Capacity and Mathematics Interest on Mathematics PerformanceOn the combination of rotated principal component analysis regionalization technique and linear regression in seasonal rainfall predictionSea surface temperature patterns in Tropical Atlantic: principal component analysis and nonlinear principal component analysisTannery Effluents Quality Evaluation Using Principal Component Analysis for Challawa Industrial Estate, Kano, Nigeria

Effect of Kinesthetic Learning on Students’ Interest and Achievement in Mathematics

One of the pertinent reasons for poor academic achievement in Mathematics is fundamentally linked to

Using Principal Component Analysis and Logistics Regression to Model Major Types of Cancer among Youth

Cancer poses a significant health challenge among young Nigerians due to high incidence rates and li

Influence of Students’ Learning Capacity and Mathematics Interest on Mathematics Performance

International audience Purpose: This study examined the influence of students’ learni

On the combination of rotated principal component analysis regionalization technique and linear regression in seasonal rainfall prediction

Abstract This study considers the selection of predictors for regional rainfall based on d

Sea surface temperature patterns in Tropical Atlantic: principal component analysis and nonlinear principal component analysis

Abstract. Principal Component Analysis (PCA) is one of the popular statistical methods for feature e

Tannery Effluents Quality Evaluation Using Principal Component Analysis for Challawa Industrial Estate, Kano, Nigeria

Physical and chemical parameters monitored at eight locations in Challawa Industrial Estate, Kano we