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Table 3 Hierarchical linear regression analyses of the factors associated with MBI-GS scores

From: Associations between occupational stress, burnout and well-being among manufacturing workers: mediating roles of psychological capital and self-esteem

variables EE CY PE WE
Step1 Step2 Step3 Step1 Step2 Step3 Step1 Step2 Step3 Step1 Step2 Step3
Age 0.041 0.015 0.008 0.002 −0.014 −0.036 0.038 0.04 0.088 −0.115 −0.099 −0.047
Gender 0.003 0.018 0.016 −0.042 −0.03 −0.026 0.01 0.007 −0.011 0.048 0.04 0.026
Education_1 −0.012 −0.022 −0.023 0.013 −0.001 0.002 0.082* 0.088* 0.075* 0.003 0.005 −0.005
Education_2 −0.081 −0.047 −0.034 −0.094* −0.056 −0.023 0.152** 0.138** 0.075* 0.075 0.062 −0.013
Income −0.063 −0.061** −0.041 −0.066* −0.061** −0.024 0.06* 0.058* 0.003 0.101** 0.100** 0.024
working hours 0.264** 0.089** 0.096** 0.159** 0.001 0.012 −0.015 0.031 0.017 −0.081** 0.004 −0.017
Working years −0.189** −0.105 −0.106* −0.131 −0.052 −0.048 −0.043 −0.066 −0.082 0.114 0.075 0.063
ERR   0.456** 0.407**   0.553** 0.47**   −0.211** −0.109**   −0.159** 0.001
Overcommitment   0.258** 0.235**   0.103** 0.048   0.02 0.117**   −0.18** −0.062*
PsyCap    −0.193**    −0.268**    0.219**    0.466**
Self-esteem    0.033    −0.055*    0.286**    0.208**
F 19.012** 110.79** 99.953** 10.297** 88.214** 98.594** 3.305** 8.113** 32.336** 4.930** 15.806** 78.308**
R2 0.099 0.451 0.477 0.056 0.396 0.473 0.019 0.057 0.228 0.028 0.105 0.416
R2-change 0.099 0.352 0.026 0.056 0.340 0.077 0.019 0.038 0.171 0.028 0.078 0.311
  1. Education_1 means “Junior college” vs. “Technical secondary school and the following”, Education_2 means “Bachelor degree or above” vs. “Technical secondary school and the following”; *P < 0.05; **P < 0.01(two-tailed)