Table 4.
Predictor variables | Luxembourg |
Germany |
Brazil |
|||
---|---|---|---|---|---|---|
LS | EW | LS | EW | LS | EW | |
1. Age | -- | -- | -- | -- | -- | .13 |
2. Gendera | -- | −.17 | -- | −.14 | -- | −.11 |
3. Life satisfaction before the pandemic | .17 | −.28 | -- | −.10 | .17 | −.15 |
4. School performance before the pandemic | -- | -- | -- | -- | -- | -- |
5. Fear of becoming ill during the pandemic | -- | .40 | -- | .33 | −.16 | .42 |
6. Satisfaction with freedom during the pandemic | .42 | −.25 | .57 | −.43 | .44 | −.27 |
7. Difficulty and quantity of schoolwork during the pandemic | −.19 | .19 | −.29 | .18 | −.22 | .24 |
8. Content of schoolwork (interesting/useful) during the pandemic | .18 | -- | .17 | -- | .24 | −.12 |
9. Leisure time before the pandemic | -- | -- | −.11 | -- | -- | −.11 |
10. Internet use before the pandemic | -- | -- | -- | -- | -- | -- |
11. Screen time during the pandemic | -- | .13 | -- | -- | .20 | -- |
12. Physical activities during the pandemic | -- | -- | .09 | -- | -- | -- |
13. Passive activities during the pandemic | −.16 | .23 | -- | .25 | -- | .24 |
14. Parental occupation | -- | -- | -- | -- | -- | -- |
15. Wealth possessions | -- | -- | -- | .09 | .32 | -- |
16. Cultural possessions | .22 | −.12 | -- | −.10 | .19 | .10 |
17. Satisfaction with the way adults listen during the pandemic | .34 | −.17 | .19 | −.19 | .25 | −.16 |
18. Contact with teachers during the pandemic | -- | -- | -- | -- | -- | -- |
19. Lengths of not attending school during the pandemic | -- | -- | -- | -- | -- | -- |
20. Illness during the pandemic | -- | -- | -- | -- | -- | -- |
R2 | .47 | .47 | .50 | .47 | .59 | .48 |
Note: Nonsignificant pathways (--) were dropped from these models to obtain simplified models in which all paths were statistically significant. Higher scores on the emotional well-being component represent more frequent negative emotions; higher scores on the life satisfaction component represent a higher life satisfaction.
EW = emotional well-being; LS = life satisfaction; MIMIC = multiple indicators multipe causes models.
Gender was coded as one for female and two for male.