Skip to main content

Table 4 Results of the hierarchical logistic regression analyses with having suicidality as a dependent variable, for female employees (N = 151)

From: Character strengths as protective factors against depression and suicidality among male and female employees

Independent variables Model 1 Model 2
B Wald Sig. OR B Wald Sig. OR
Socio-demographic factors
 Age −.045 2.276 .131 .956 −.063 2.779 .095 .939
 Years of education .015 .173 .677 1.016 .014 .107 .744 1.014
 Family income −.142 1.090 .296 .867 −.268 2.643 .104 .765
 Job grade (low) .098 .007 .934 1.103 −.107 .006 .936 .899
Character strengths measured by the VIA-72
 Creativity      .772 3.414 .065 2.165
 Curiosity      .068 .037 .848 1.070
 Judgment      −1.405 5.663 .017* .245
 Love of learning      −.072 .043 .836 .930
 Perspective      .056 .015 .901 1.058
 Love      .757 3.778 .052 2.133
 Kindness      −1.456 6.486 .011* .233
 Social intelligence      −.148 .089 .765 .863
 Teamwork      .005 .000 .991 1.005
 Fairness      .663 1.372 .242 1.940
 Leadership      .518 .960 .327 1.679
Statistics of the model
 -2LL 154.947 127.425
 Model χ2 2.998 (df = 4), p = .558 30.520 (df = 15), p = .010*
 Step χ2 2.998 (df = 4), p = .558 27.522 (df = 11), p = .004**
 Nagelkerke R2 .031 .286
 Classification Accuracy (%) 76.6 80.7
  1. *p < .05, **p < .01, ***p < .001, borderline significance. VIA-72, 24 Character Strength Alphas Values in Action Survey-72; Sig., significance; OR, odds ratio