TABLE 1.
2012 Cohort |
2017 Cohort |
Total sample |
||||
Variable | n = 780 | % | n = 608 | % | N = 1388 | % |
Gender | ||||||
Female | 450 | 57.7 | 350 | 57.6 | 800 | 57.6 |
Male | 322 | 41.3 | 243 | 40.0 | 565 | 40.7 |
Missing | 8 | 1.0 | 15 | 2.5 | 23 | 1.7 |
Faculty | ||||||
Arts | 229 | 29.4 | 169 | 27.8 | 398 | 28.7 |
Science | 157 | 20.1 | 122 | 20.1 | 279 | 20.1 |
Business | 125 | 16.2 | 118 | 19.4 | 243 | 17.5 |
Engineering | 62 | 7.9 | 76 | 12.5 | 138 | 9.9 |
Medical | 64 | 8.2 | 40 | 6.6 | 104 | 7.5 |
Law | 43 | 5.5 | 36 | 5.9 | 79 | 5.7 |
Education | 43 | 5.4 | 24 | 3.9 | 67 | 4.8 |
NICAI | 11 | 1.4 | 10 | 1.6 | 21 | 1.5 |
Missing | 46 | 5.9 | 13 | 2.1 | 59 | 4.3 |
There were no statistically significant between-group differences by either Gender (χ2 = 1.07, p = 0.786) or Faculty (χ2 = 12.49, p = 0.093).