Table 1 Sample description
Variables | count (%) |
|---|---|
Gender | Â |
 Male | 596 (28.3%) |
 Female | 1,513 (71.7%) |
Education level | Â |
 A-level degree | 1,005 (47.7%) |
 Apprenticeship | 707 (33.5%) |
 Bachelor degree | 129 (6.1%) |
 Master degree | 109 (5.2%) |
 Doctorate degree | 21 (1.0%) |
 Other or lower than A-level | 138 (6.5%) |
Industry | Â |
 Finance & insurance services | 334 (15.8%) |
 Retail & consumption | 280 (13.3% |
 Health care, medical & social services | 222 (10.5%) |
 Public service, administration & transportation | 215 (10.2%) |
 Automotive & engineering | 160 (7.6% |
 Education & research | 144 (6.8%) |
 Consulting | 133 (6.3%) |
 IT | 123 (5.8%) |
 Architecture & construction | 109 (5.2%) |
 Energy | 51 (2.4%) |
 Telecommunications | 33 (1.6%) |
 Other/uncategorized | 305 (14.5%) |
Leadership Experience | Â |
 no | 1,727 (81.9%) |
 yes | 363 (17.2%) |
 NA | 19 (0.9%) |
Total | 2,109 (100%) |