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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