DETERMINATION OF STUDENTS’ ACADEMIC PERFORMANCE USING CANONICAL CORRELATION AND FACTOR ANALYSES (STATISTICS PROJECT TOPICS AND MATERIALS)
ABSTRACT
In this study, we tried to evaluatestudents’ academic performance through the use of the relationship between mathematical and less-mathematical subjects and also tried to verify the subjects that contribute significantly to the variation among them. Canonical correlation analysis was employed to analyse the relationship between mathematical and less-mathematical subjects and to also test the significance of canonical variate and the homogeneity of variance among the variables obtained with the use of Wilk’s Lambda and Bartlett’s test respectively. Factor analysis was used to investigate the variability among the subjects and find out the variables that contribute significantly to the percentage of variance obtained. The data used is the Senior Secondary Certificate Examination results of Command Secondary School, Kaduna, conducted by the National Examination Council in the year 2008, 2009 and 2010 respectively.
The data consists of results of 90 students in eight subjects out of nine registered subjects by each student. Two sets were formed; set-1 which consists of Mathematics, Chemistry and Physics; was classified as the mathematical subjects, while set-2 which consists of Economics, English Language, Biology, Geography and Hausa Language; was classified as less-mathematical subjects. The data wasanalyzed and structured into mathematical and less-mathematical data using the NCSS 2007 package. The purpose of the structuring was that of gathering information needed to quantify elements which were considered in order to construct determinant factors and to as well check which of the variables contributed significantly to the variance.Our results showed that less-mathematical subjects have significant impact on determining students’ academic performance.
Three canonical roots were obtained and two are statistically significant showing a strong correlation between the two sets. Four factors were considered and it shows that less-mathematical subjects contribute significantly to thevariation among the variables.Mathematical subjects are directly related, so also less-mathematical subjects. However, mathematical subjects are inversely related to less-mathematical subjects, which means, an increase in the students’ performance in mathematical subjects will lower the performance in less-mathematical subjects.
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DETERMINATION OF STUDENTS’ ACADEMIC PERFORMANCE USING CANONICAL CORRELATION AND FACTOR ANALYSES (STATISTICS PROJECT TOPICS AND MATERIALS)
