Table 4 Personal accomplishment 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 PA

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

1.239*

0.339

0.235

0.802

1.382***

0.365

−1.618

0.319

−0.0534

0.277

 

(0.469)

(0.415)

(0.281)

(0.608)

(0.710)

(0.473)

(1.209)

(0.827)

(0.358)

(0.959)

Gender Women

1.094

−1.281

−1.015***

−0.864

−0.868

1.363

3.313

−2.926

−0.628

7.102*

(0.931)

(0.830)

(0.550)

(1.170)

(1.789)

(1.373)

(2.336)

(1.757)

(0.798)

(1.708)

Scientific degree

0.0488

0.472

0.0877

0.224

−0.601

−1.031**

−0.638

−0.309

0.208

−0.349

(0.429)

(0.413)

(0.244)

(0.497)

(0.798)

(0.405)

(1.150)

(0.671)

(0.361)

(0.972)

University relocation

3.586*

0.976

−0.0491

−1.162

−0.286

−1.906***

2.321

1.645

0.429

2.817

(0.983)

(0.996)

(0.518)

(1.264)

(1.650)

(1.119)

(2.641)

(2.355)

(0.785)

(2.039)

Migration status

−2.013**

−0.702

0.604

0.784

0.438

−1.025

3.833***

0.367

0.317

−3.618***

(0.879)

(0.885)

(0.455)

(1.001)

(1.690)

(0.974)

(2.194)

(2.370)

(0.780)

(1.938)

Cons

64.90*

87.37*

75.03*

57.27*

87.00*

77.22*

59.06*

91.13*

75.02*

50.55*

 

(1.691)

(1.594)

(0.995)

(2.038)

(3.344)

(1.838)

(4.315)

(3.050)

(1.326)

(3.382)

ρ

0.0572

         

N

1493

184

270

382

48

77

103

56

116

257

  1. The dependent variable – PA – is in the percent.
  2. Model: reg emot_ Age Women Degree Univ_Reloc_Yes Migr_stat_Yes.
  3. Note: Standard errors in parentheses.
  4. *** p < 0.10, ** p < 0.05, * p < 0.01.
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