Table 5. The average scores for work values and interests.
| Cluster | Group | Work Values | Work Interests | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Achievement | Independence | Recognition | Relationships | Support | Working Conditions | Artistic | Conventional | Enterprising | Investigative | Realistic | Social | ||
| C1: Managerial and supervisory occupations | G1: Managers | 9 | 9 | 8 | 8 | 7 | 9 | 5 | 6 | 9 | 5 | 4 | 6 |
| G2: Supervisors | 8 | 9 | 7 | 9 | 7 | 7 | 3 | 7 | 10 | 3 | 5 | 6 | |
| C2: Education, mental health and counselling occupations | G3: Educators | 9 | 9 | 8 | 8 | 5 | 9 | 6 | 5 | 4 | 8 | 4 | 10 |
| G4: Counselors | 9 | 8 | 8 | 10 | 7 | 8 | 6 | 5 | 5 | 6 | 3 | 10 | |
| C3: Science, technology and engineering occupations | G5: Scientists | 9 | 8 | 8 | 6 | 7 | 8 | 4 | 6 | 4 | 10 | 8 | 3 |
| G6: Non-medical technicians | 7 | 8 | 7 | 6 | 8 | 7 | 4 | 7 | 4 | 7 | 8 | 3 | |
| C4: Special and support services occupations | G7: Medical technicians | 7 | 7 | 6 | 9 | 9 | 7 | 2 | 6 | 4 | 6 | 8 | 8 |
| G8: Physicians | 9 | 9 | 8 | 10 | 7 | 8 | 3 | 4 | 4 | 8 | 7 | 9 | |
| G9: Safety protectors | 8 | 8 | 7 | 8 | 9 | 7 | 2 | 6 | 7 | 5 | 9 | 5 | |
| C5: Analytical and expert services occupations | G10: Analysts | 8 | 8 | 7 | 7 | 7 | 7 | 3 | 9 | 8 | 5 | 3 | 4 |
| G11: Clerical workers | 8 | 7 | 6 | 8 | 6 | 7 | 7 | 5 | 6 | 5 | 3 | 6 | |
| G12: Office staff | 5 | 6 | 5 | 8 | 7 | 5 | 2 | 10 | 7 | 3 | 4 | 4 | |
| C6: Customer and personal services occupations | G13: Personal service providers | 5 | 6 | 4 | 8 | 7 | 5 | 2 | 8 | 6 | 3 | 8 | 5 |
| G14: Sales persons | 6 | 6 | 5 | 8 | 5 | 5 | 5 | 6 | 7 | 2 | 7 | 5 | |
| C7: Equipment operation and services occupations | G15: Equipment operators | 5 | 6 | 4 | 6 | 8 | 6 | 2 | 6 | 3 | 4 | 10 | 2 |
| C8: Basic services, crafts and manual occupations | G16: Craftspersons | 4 | 5 | 4 | 6 | 7 | 5 | 2 | 6 | 3 | 4 | 10 | 2 |
| G17: Manual labors | 3 | 4 | 3 | 6 | 6 | 4 | 2 | 7 | 4 | 2 | 9 | 3 | |
Sources: Authors own calculations. Occupations are clustered using Ward hierarchical method based on 72 principal components derived from 220 occupational descriptors from O*NET. Descriptors related to Work Values and Work Interests are averaged across occupations in each group and re-scaled to be in the [1–10] interval.