Table 4.
Demographic details.
Dimension | Total sample (%) n = 260 | IT in IT sector (%) n = 158 | IT in Non-IT sector (%) n = 102 |
---|---|---|---|
Gender | |||
Female | 105 (40.38%) | 58 (36.71%) | 47 (46.08%) |
Male | 155 (59.62%) | 100 (63.29%) | 55 (53.92%) |
Age (years) | |||
<25 | 51 (19.62%) | 26 (16.46%) | 25 (24.51%) |
26–30 | 88 (33.85%) | 53 (33.54%) | 35 (34.31%) |
31–35 | 50 (19.23%) | 36 (22.78%) | 14 (13.73%) |
36–40 | 44 (16.92%) | 27 (17.09%) | 17 (16.67%) |
41–45 | 11 (4.23%) | 8 (5.06%) | 3 (2.94%) |
>45 | 16 (6.15%) | 8 (5.06%) | 8 (7.84%) |
Graduate qualification | |||
High vocational | 2 (0.77%) | 0 (0%) | 2 (1.96%) |
Bachelor degree | 191 (73.46%) | 116 (73.42%) | 75 (73.53%) |
Master degree | 63 (24.23%) | 38 (24.05%) | 25 (24.51%) |
Doctoral degree | 4 (1.54%) | 4 (2.53%) | 0 (0%) |
Study major | |||
Engineer | 41 (15.77%) | 29 (18.35%) | 12 (11.76%) |
IT/Computer/SE | 152 (58.46%) | 98 (62.03%) | 54 (52.94%) |
Management/Accounting | 35 (13.46%) | 15 (9.49%) | 20 (19.61%) |
Science | 18 (6.92%) | 9 (5.70%) | 9 (8.82%) |
Other | 14 (5.38%) | 7 (4.43%) | 7 (6.86%) |
IT experience (years) | |||
<1 | 17 (6.54%) | 7 (4.43%) | 10 (9.80%) |
1–3 | 60 (23.08%) | 38 (24.05%) | 26 (25.49%) |
4–6 | 53 (20.38%) | 18 (11.39%) | 7 (6.86%) |
7–9 | 41 (15.77%) | 32 (20.25%) | 28 (27.45%) |
10–12 | 25 (9.62%) | 36 (22.78%) | 17 (16.67%) |
>12 | 64 (24.62%) | 27 (17.09%) | 14 (13.73%) |
Career groups | |||
Digital Content/Internet/SEO/Marketing | 29 (11.15%) | 12 (7.59%) | 17 (16.67%) |
Hardware/Network | 24 (9.23%) | 15 (9.49%) | 9 (8.82%) |
IT Auditing/Testing/QA | 13 (5.00%) | 11 (6.96%) | 2 (1.96%) |
MIS | 80 (30.77%) | 52 (32.91%) | 28 (27.45%) |
Programming | 101 (38.85%) | 63 (39.87%) | 38 (37.25%) |
Web Design/Graphic | 13 (5.00%) | 5 (3.16%) | 8 (7.84%) |
Mentor experience with (new staff/IT student) | |||
Yes/No | 120 (46.15%) | 74 (46.84%) | 46 (45.10%) |
Yes/Yes | 140 (53.85%) | 84 (53.16%) | 56 (54.90%) |
Note: n = participant numbers.