Table 1.
Descriptive statistics, Cronbach's Alphas and Correlations among the study variables in the French and Italian samples.
1 | 2 | 3 | 4 | 5 | 6 | |
---|---|---|---|---|---|---|
1. Exhaustion | .77/.78 | .27∗∗ | .13∗∗ | .16∗∗ | .14∗∗ | .11∗ |
2. Internet addiction | .29∗∗ | .87/.87 | .30∗∗ | .14∗∗ | –.09 | .02 |
3. Off-TAJD | .14∗∗ | .22∗∗ | .91/.92 | .06 | –.05 | .03 |
4. Job insecurity | .27∗∗ | .24∗∗ | .10∗ | .85/.83 | –.05 | .11∗ |
5. Gender (1 = F) | .15∗∗ | –.11∗ | –.02 | –.02 | – | .15∗∗ |
6. Concern about COVID-19 | .16∗∗ | .14∗∗ | .14∗∗ | .18∗∗ | .10∗ | – |
Italian – M | 2.73 | 2.05 | 2.17 | 1.99 | – | 3.46 |
SD | .73 | .68 | 1.09 | .96 | – | 1.06 |
French – M | 2.67 | 1.99 | 2.26 | 2.03 | – | 3.86 |
SD | .67 | .66 | 1.10 | .92 | – | .84 |
Notes. Correlations for the French sample below the diagonal; correlations for the Italian sample above the diagonal. ∗p < .05; ∗∗p < .01. Cronbach's Alpha for French/Italian samples on the diagonal.