Table 3.
Categorization of the sample
| Category | N | Total | Index name |
|---|---|---|---|
| Gender | |||
| Men | 90 | Men | |
| Women | 108 | Women | |
| Education | |||
| Incomplete high school | 4 | 77 | Lower education group (Education-1) |
| Complete high school | 11 | ||
| Incomplete university degree | 62 | ||
| Complete university degree | 85 | 121 | Higher education group (Education-2) |
| Postgraduate degree | 36 | ||
| Age (years old) | |||
| Mean = 29.81 | |||
| Median = 26 | |||
| 102 | Younger group: 0–26 (Age-1) | ||
| 96 | Older group: >26 (Age-2) | ||
In brackets are the names of the groups for the analysis. Likewise for the creation of the indices, the identification of age-groups stems from the median in order to have numerically similar groups