Skip to main content
. 2017 Nov 9;26(1):33–43. doi: 10.1016/j.jsps.2017.11.002

Table 1.

Demographic characteristics of the overall sample and the three clusters (N = number of participants).

Demographic variables Overall
N = 300 (100%)
C1
N = 147 (49%)
C2
N = 106 (35%)
C3
N = 47 (16%)
χ2 Sig. V
Gender 0.59 0.743 0.044
Female 185 (62) 91 (62) 63 (59) 31 (66)
Male 115 (38) 56 (38) 43 (41) 16 (34)



Educational level 36.09** <0.001 0.246
Primary Sch. 15 (5) 1 (1) 7 (7) 7 (15)
Gymnasium 45 (15) 13 (9) 23 (22) 9 (19)
Lyceum 111 (37) 57 (39) 36 (34) 18 (38)
University 90 (30) 54 (37) 24 (23) 12 (26)
Post-Grad. 25 (8) 17 (11) 8 (7) 0 (0)
Doctorate 12 (4) 4 (3) 7 (7) 1 (2)
Missing 2 (1) 0 (0) 0 (0) 0 (0)



Occupation 44.67** <0.001 0.273
Student 15 (5) 12 (8) 2 (2) 1 (2)
Unemployed 37 (12.3) 21 (14) 4 (4) 9 (19)
Homemaker 42 (14) 18 (12) 19 (18) 5 (10)
Full-Time 87 (29) 48 (33) 31 (29) 8 (17)
Part-Time 20 (6.7) 13 (9) 2 (2) 4 (9)
Self-Empl. 18 (6) 11 (8) 3 (3) 4 (9)
Retired 81 (27) 23 (16) 45 (43) 16 (34)



Monthly personal income 32.54** <0.001 0.233
Under 400€ 86 (28.7) 52 (35) 19 (18) 15 (32)
400–800€ 97 (32.3) 42 (29) 32 (30) 23 (49)
801–1200€ 78 (26) 29 (20) 43 (41) 6 (13)
1201–1600€ 24 (8) 17 (12) 5 (5) 2 (4)
1601–2000€ 9 (3) 5 (3) 4 (4) 0 (0)
Over 2000€ 6 (2) 2 (1) 3 (3) 1 (2)



Age F Sig.
Mean ± SD 50.3 ± 18.9 43.5 ± 16.5 57 ± 18.7 56.4 ± 19.4 20.97 <0.001

Note. SD: Standard Deviation; C1: Cluster 1; C2: Cluster 2; C3: Cluster 3; Values in parentheses are percentages (%); F: F statistic value;

χ2: Chi-square statistic value; V: Cramer’s V coefficient; Sig.: p-value.

*Significant at p < .05.

***p < .001.

**

p < .01.