Table 1.
Demographic data of the sample.
| Factor | Total Sample |
|---|---|
| Gender | |
| N | 315 |
| % Male | 51.6 |
| % Female | 48.4 |
| Age | |
| N | 315 |
| % under 36 years old | 1.8 |
| % between 36 and 45 years old | 14.1 |
| % between 46 and 55 years old | 64 |
| % over 55 years | 20.1 |
| Academic level | |
| N | 315 |
| % Elementary or High School | 10.3 |
| % Bachelor’s degree | 23 |
| % Graduate | 55.5 |
| % Master’s degree | 10.1 |
| % PhD | 1.1 |
| Employment status | |
| N | 315 |
| % Public officials | 92.9 |
| % Ordinary employees | 7.1 |
| Job positions | |
| N | 315 |
| Managers | 7.1 |
| Pre-managers | 15.9 |
| Operating | 77 |
| Working hours | |
| N | 315 |
| Morning shift | 81.9 |
| Afternoon shift | 18.1 |