Table 3.
Correlation matrix of depression, anxiety, self-concept, age, sex, SES and migration status
| Variable | Depression | Anxiety | Self-concept | Age | Sex | SES | Migration |
|---|---|---|---|---|---|---|---|
| Depression | 1 | ||||||
| Anxiety | 0.697 | 1 | |||||
| Self-Concept | − 0.456 | − 0.283 | 1 | ||||
| Age | 0.022 | − 0.003 | − 0.144 | 1 | |||
| Sex | − 0.189 | − 0.196 | 0.128 | 0.025 | 1 | ||
| SES | − 0.082 | − 0.100 | 0.112 | − 0.074 | 0.095 | 1 | |
| Migration | − 0.069 | − 0.116 | 0.000 | − 0.008 | − 0.04 | 0.217 | 1 |
SES, parental highest socio-economic status. Dichotomous variables (Sex, Migration) compared to metric variables using point-biserial correlation. Categorical Variable (SES, 4 groups) compared to metric variables using biserial correlation. Dichotomous and categorical variables compared to each other using Cramer’s V