Table 1

Background characteristics across nine subsamples

1 n (%)
n = 547
2 n (%)
n = 773
3 n (%)
n = 486
4 n (%)
n = 373
5 n (%)
n = 2246
6 n (%)
n = 587
7 n (%)
n = 761
8 n (%)
n = 643
9 n (%)
n = 999
Total sample n (%)
Gender
Female195 (35.6)508 (65.7)316 (65.0)108 (29.0)1784 (79.4)154 (26.2)571 (75.0)414 (64.4)868 (86.9)4918 (63.2)
Male352 (64.4)265 (34.3)170 (35.0)265 (71.0)462 (20.6)433 (73.8)190 (25.0)229 (35.6)131 (13.1)2497 (32.1)
Education
Comprehensive school        12 (1.2)12 (0.2)
Vocational school/upper secondary school    24 (1.1)77 (13.1)90 (11.8)16 (2.5)121(11.9)328 (84.4)
Special vocational degree    15 (0.7)408 (69.3)465 (61.0)165 (25.7)17 (1.7)1070 (14.4)
Vocational post-secondary degree    152 (6.7)39 (6.6)43 (5.6)42 (6.5)244 (24.0)520 (7.0)
Bachelor’s degree or vocational university degree 6 (0.8)14 (2.9)11 (3.0)466 (20.7)43 (7.3)86 (11.3)200 (31.1)384 (37.7)1210 (16.3)
Master’s degree or higher vocational university degree 281 (37.3)449 (94.3)321 (87.7)1509 (66.9)21 (3.6)64 (8.4)183 (28.5)146 (14.3)2974 (40.1)
Doctoral or licentiate degree547 (100)466 (61.9)13 (2.7)34 (9.3)88 (3.9)1 (0.2)14 (1.8)37 (5.8)94 (9.2)1294 (17.5)
Age
Mean (SD)7.6 (1.5)5.6 (2.0)5.5 (2.0)5.5 (2.1)5.9 (2.5)5.3 (2.4)3.9 (2.5)5.9 (2.0)5.5 (2.3)5.6 (2.4)

Note(s): 1 = Professors, 2 = Academics, 3 = Economists, 4 = Engineers, 5 = Teachers, 6 = Industry employees, 7 = Service sector employees, 8 = Industry and financial professionals, 9 = hospital employees

Source(s): Created by authors

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