Skip to main content

Table 5 Results of the hierarchical logistic regression analyses with having suicidality as a dependent variable, for male employees (N = 84)

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 −.040 .638 .424 .961 −.101 2.004 .157 .904
 Years of education .028 .289 .591 1.028 −.033 .241 .623 .967
 Family income −.366 2.434 .119 .694 −.131 .154 .695 .877
 Job grade (low) −19.371 .000 .999 .000 −19.238 .000 .999 .000
Character strengths measured by the VIA-72
 Creativity      −1.384 4.202 .040* .251
 Curiosity      1.709 3.389 .066 5.525
 Judgment      .754 .903 .342 2.125
 Love of learning      −.520 1.045 .307 .595
 Perspective      1.181 1.308 .253 3.259
 Love      1.162 .965 .326 3.198
 Kindness      .336 .122 .726 1.400
 Social intelligence      −.626 .443 .506 .535
 Teamwork      −1.967 2.417 .120 .140
 Fairness      .028 .001 .974 1.028
 Leadership      − 1.057 1.278 .258 .348
Statistics of the model
 -2LL 73.690 52.452
 Model χ2 4.743 (df = 4), p = .315 25.981 (df = 15), p = .038*
 Step χ2 4.743 (df = 4), p = .315 21.238 (df = 11), p = .031*
 Nagelkerke R2 .091 .440
 Classification Accuracy (%) 81.9 90.4
  1. *p < .05, **p < .01, ***p < .001. VIA-72, 24 Character Strength Alphas Values in Action Survey-72; Sig., significance; OR, odds ratio