Skip to main content
. 2019 May 16;5(5):e01723. doi: 10.1016/j.heliyon.2019.e01723

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.