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. 2020 Oct 23;17(21):7771. doi: 10.3390/ijerph17217771

Table 9.

Hierarchical regression analyses with vigor and subjective work performance as outcome variables.

Predictor Variables Vigor Subjective Work Performance
Step 1 Step 2 Step 3 Step 4 Step 1 Step 2 Step 3 Step 4
Demographic variables
Long work week 0.01 0.12 0.08 0.05 0.07 −0.02
Atypical working time 0.00 0.10 0.13 * 0.00 0.01 0.06
Training opportunities 0.02 0.00 −0.03 −0.04
Career advancement 0.06 * 0.01 0.08 * 0.02
Job security 0.12 *** 0.09 *** 0.08 ** 0.07 *
Employability 0.08 ** 0.06 * 0.09 ** 0.06 *
Work life conflict −0.27 *** −0.19 *** −0.06 * −0.06
Income satisfaction 0.06 * −0.04 −0.05
Participation 0.10 *** 0.12 ***
Feedback 0.04 0.08 *
Autonomy 0.06 * 0.08 *
Mental demands 0.01 0.05
Time pressure −0.01 0.11 ***
Emotional demands −0.06 * 0.01
Social support 0.10 *** −0.06
Competition 0.03 0.01
Mobbing −0.11 *** −0.08 **
Physical burden 0.04 0.01
Risk of accident 0.00 −0.03
F 0.629 0.471 17.812 *** 14.995 *** 2.035 1.566 3.649 *** 5.735 ***
ΔF 0.005 40.823 *** 9.949 *** 0.183 6.394 *** 8.134 ***
R 2 0.00 0.00 0.14 0.20 0.01 0.01 0.03 0.09
ΔR2 0.00 0.14 0.06 0.00 0.02 0.06

* p < 0.05, ** p < 0.01, *** p < 0.001; standardized regression coefficients, the block demographic variables contains gender, age, nationality, residence, education, work sector; F represents the test against the null model (all coefficients equal zero), ΔF represents the test against the regression model of the previous step.