As an effort to ensure all the collected data are normally distributed in the population, graphical measures such as histogram, stem-and-leaf plot, Q-Q plot and detrended Q-Q plot had been plotted for each variable studied. Furthermore, numerical measures namely skewness and kurtosis measures were also used to identify any deviations from normal distributions(Hair, Anderson, Tatham, & Black, 1998; Miles& Shevlin, 2001). After the assumptions of using parametric techniques in analyzing quantitative data were met, univariate analysis(t-test) and multivariate analyses(Pearson product-moment correlation and multiple regression analysis) were used to test null hypotheses at a specified significance level, .05.