Table 1 Predicting well-being by time variables, personality, and the salience of the war
From: Psychological well-being in Europe after the outbreak of war in Ukraine
Individual well-being | ||||||||
|---|---|---|---|---|---|---|---|---|
Predictors | b | 95%-CI | t | p | b | 95%-CI | t | p |
(Intercept) | −0.090 | −0.156; −0.023 | −2.644 | 0.008 | −0.090 | −0.154; −0.025 | −2.714 | 0.007 |
Level | −0.200 | −0.278; −0.122 | −5.040 | <0.001 | −0.182 | −0.260; −0.103 | −4.525 | <0.001 |
Pre-event | 0.005 | −0.097; 0.107 | 0.096 | 0.923 | 0.041 | −0.061; 0.143 | 0.781 | 0.435 |
Post-event | 0.089 | −0.006; 0.184 | 1.837 | 0.066 | 0.121 | 0.029; 0.212 | 2.571 | 0.010 |
Stability | – | – | – | – | 0.245 | 0.180; 0.311 | 7.338 | <0.001 |
Level * Stability | – | – | – | – | −0.027 | −0.102; 0.048 | −0.698 | 0.485 |
Pre-event * Stability | – | – | – | – | −0.043 | −0.139; 0.054 | −0.867 | 0.386 |
Post-event * Stability | – | – | – | – | 0.161 | 0.066; 0.255 | 3.320 | 0.001 |
(Intercept) | −0.004 | −0.044; 0.035 | −0.216 | 0.829 | −0.008 | −0.048; 0.032 | −0.377 | 0.706 |
Tweets | −0.070 | −0.096; −0.044 | −5.298 | <0.001 | – | – | – | – |
Tweets (WS) | – | – | – | – | −0.065 | −0.092; −0.037 | −4.559 | <0.001 |
Tweets (BS) | – | – | – | – | −0.116 | −0.207; −0.024 | −2.475 | 0.013 |
