Table 2 Emotional exhaustion among Ukrainian academic staff across waves and levels.
From: Progressive intensification of burnout among academic staff during the war
Predictors | General, FE model | Levels of EE | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
Wave 1 | Wave 2 | Wave 3 | ||||||||
Low | Moderate | High | Low | Moderate | High | Low | Moderate | High | ||
(1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | (10) | |
Age | −2.349* | −0.284 | 0.108 | −1.200 | 0.939 | 0.118 | 0.531 | −0.966 | 0.412 | −0.705 |
(0.646) | (0.700) | (0.337) | (0.811) | (1.170) | (0.691) | (1.375) | (1.317) | (0.603) | (0.909) | |
Gender Women | 7.000* | 3.539* | 0.776 | 0.814 | 2.503 | 0.732 | 2.629 | −1.283 | −0.895 | −5.286* |
(1.282) | (1.285) | (0.690) | (1.756) | (2.283) | (1.926) | (3.285) | (2.802) | (1.130) | (1.735) | |
Scientific degree | 1.387** | 0.523 | 0.149 | 0.277 | −1.172 | −0.210 | 0.733 | 0.821 | 0.331 | 1.985** |
(0.590) | (0.646) | (0.315) | (0.643) | (1.117) | (0.685) | (1.329) | (1.187) | (0.606) | (0.934) | |
University relocation | −6.951* | −0.176 | 0.0274 | 0.509 | 1.144 | −0.540 | 1.547 | −1.720 | −2.106 | −7.372* |
(1.354) | (1.479) | (0.719) | (1.598) | (3.651) | (1.576) | (2.912) | (3.106) | (1.333) | (2.012) | |
Migration status | 2.426** | 0.980 | −0.143 | −1.669 | −3.565 | −1.391 | −4.614*** | −2.831 | 3.848* | 5.523* |
(1.211) | (1.358) | (0.652) | (1.217) | (3.532) | (1.393) | (2.518) | (3.193) | (1.354) | (1.905) | |
Cons | 49.48* | 18.87* | 40.85* | 67.01* | 24.38* | 42.68* | 60.68* | 27.82* | 39.42* | 71.63* |
(2.329) | (2.643) | (1.198) | (2.766) | (4.375) | (2.895) | (5.497) | (4.815) | (2.282) | (3.279) | |
ρ | 0.120 | - | - | - | - | - | - | - | - | - |
N | 1493 | 210 | 212 | 414 | 44 | 59 | 125 | 55 | 66 | 308 |