Statistical Modeling of the Factors Affecting Mathematics Performance in Secondary Schools: A Case of Kigoma Region

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dc.contributor.authorJeremiah, January, Shaban, Nyimvua and Rashid, Mohamed
dc.date.accessioned2024-04-16T13:20:38Z
dc.date.available2024-04-16T13:20:38Z
dc.date.issued2020-10-04
dc.descriptionThis Journal Article was Published Mbeya University of Science and Technology, University of Dar es Salaam
dc.description.abstractThis work was based on analysis of factors affecting mathematics performance for the purpose of developing multiple linear regression models by using Ordinary Least Squares Method. The data was collected in Kigoma region from five selected secondary schools. This study analysed students’ observed performance data of 92 and 89 selected samples for both basic mathematics and advanced mathematics respectively. Principal Component Analysis method was used to reduce 30 Likert scaled observed variables and filter out latent factors which affect mathematics performance. Latent independent factors namely; students’ self-efficacy and self concept towards mathematics, students’ engagement time in mathematics, students` motivation and evaluation strategies, mathematics teachers and resource availability, students’ mathematical intelligence and access to learning materials, and the school mathematics learning environment were found to be significant factors that influence performance in either Basic or Advanced mathematics. Sensitivity analysis was carried out by construction of partial regression plots and standardized regression coefficient rank approaches. For both basic mathematics and advanced mathematics, students’ performance was predicted using regression models that incorporated independent factors which explained 88.6% and 66.4% of variance in mathematics performance for each model respectively. All significant factors were tested using t-test and found that each factor have positive correlation with mathematics performance. Finally using 95% confidence interval, the simulation of predicted performance was done using simple scatter plots for each model. The scatter plots verified that the predicted mathematics performance reflect real life situation at 0.05 level of significance.
dc.description.sponsorshipPrivate
dc.identifier.issn2683-6467
dc.identifier.urihttps://repository.must.ac.tz/handle/123456789/137
dc.language.isoen
dc.publisherMUST Journal of Research and Development (MJRD)
dc.titleStatistical Modeling of the Factors Affecting Mathematics Performance in Secondary Schools: A Case of Kigoma Region
dc.typeArticle
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