Correlation Analysis of Gender Performance in Computer Science Department, Adamawa State Polytechnic Yola, Nigeria

Abstract

This study examined the correlation analysis of gender performance in Computer Science Department of Adamawa State Polytechnic, Yola. The study used one research question, one research objective and one research hypothesis. The study applied ex post facto and quantitative designed. Secondary data were obtained from Computer Science Department of Adamawa State Polytechnic, Yola. The data were 2021/2022 Cumulative Great Point Average (CGPA) of National Diploma II of the institution. At 0.05 level of significance, data diagnostic tests were done and confirmed the data to be normally distributed with Kolmogorov-Smirnov and Shapiro-Wilk significant p-values of 0.020 and 0.009 respectively. Linearity test was also performed and confirmed the data to be positively linear with a slop of 1.698 and gradient of 0.298. The study used correlation analysis techniques to determine the correlation between the gender performances in the study area. The results revealed that the correlation coefficient r = 0.301 with P-value = 0.028, which indicate a positively weak but statistically significant relationship. The null hypothesis H_0: was rejected at 0.05 level of significance and it can therefore be concluded that there is a significant correlation between student’s gender on academic performances in Computer Science Department of Adamawa State Polytechnic, Yola. The results from this study will serve as a spring board for policy formulation and implementation of Adamawa State Polytechnic, Yola and Adamawa State Ministry of higher education.