variables. The statistical methods used in this study are descriptive statistics (Mean for males and females), reliability (Cronbach’s alpha), correlation (males and females) and multiple regression analysis.
3. Discussion and Analysis
3.1. Descriptive statistics (Mean for males and females)
The descriptive statistics table shows the mean for males and females according to the variables. Table 1 of
descriptive statistics shows the mean for males (84) and females (393). The variables consists of age, working
experience, CGPA, surface motives, surface strategies, deep motives, deep strategies, achievement motives,
achievement strategies, surface approach, deep approach and achieving approach. 83.3% of males age are 18-21
years old while remaining are 22 years old and above. Besides that, 98.8% of males are having working
experience while remaining is not. The lowest mean is surface strategies which is 2.38 while the highest mean is
achievement motives which is 2.92. These suggest that average of 2.38 students is affected by surface strategies
while average of 2.92 students are affected by achievement motives. Meanwhile, about 24.4% of females are age
between 18 to 21 years old while remaining are 22 years old and above. For working experience, most of females
on average don’t have working experience which account for 67.9%. The lowest mean is 2.58 which is CGPA
while the highest mean is 4.30 which is achievement motive. These suggest that average of 2.58 of female
students is affected by CGPA while average of 4.30 female students is affected by achievement motives. Based
on these results, both males and females share the highest mean which is achievement motives. This indicates
that majority of the students, on average mostly affected by achievement motives.