From: Principal component analysis: development and initial validation of the mirror effects inventory
n | % | |
---|---|---|
Sex | ||
Male | 63 | 32.3 |
Female | 132 | 67.7 |
Age (years) | ||
16–20 | 1 | 0.5 |
21–25 | 53 | 27.2 |
26–30 | 61 | 31.3 |
31–35 | 33 | 16.4 |
36–40 | 21 | 10.8 |
41–45 | 17 | 8.7 |
46–50 | 6 | 3.1 |
51–55 | 4 | 2 |
Educational attainment | ||
Tertiary education (e.g., associate degree, higher diploma) | 52 | 26.4 |
University | 92 | 46.7 |
Master’s | 48 | 24.4 |
Ph.D | 5 | 2.5 |
Occupation | ||
Art/entertainment | 2 | 1.0 |
Administration | 15 | 7.6 |
Building/techniques | 1 | 0.5 |
Business management | 3 | 1.5 |
Counseling | 2 | 1.0 |
Education | 13 | 6.6 |
Information technology | 1 | .5 |
Hospital/medical | 7 | 3.6 |
Human resources | 7 | 3.6 |
Marketing | 7 | 1.5 |
Social services | 116 | 58.9 |
Full-time student | 21 | 10.7 |
Other | 6 | 3.0 |