Table 1.
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.