Table 3.
Regression 1 X= > M (a) | ||||
Predictor | Outcome = M (promotion-focuses job crafting) | |||
B | SE | t | p | |
X (burnout) | −0.337 | 0.069 | −4.865 | 0.000 |
Constant | 4.426 | 0.047 | 93.291 | 0.000 |
Regression 2 X, M= > Y (c′ & b) | ||||
Predictor | Outcome = Y (self-efficacy) | |||
B | SE | t | p | |
X (burnout) | −0.075 | 0.073 | −1.020 | 0.308 |
M (promotion-focused job crafting) | 0.494 | 0.055 | 8.857 | 0.000 |
Constant | 2.214 | 0.251 | 8.793 | 0.000 |
Regression 3 total effect (c) | ||||
Predictor | Outcome = Y (self-efficacy) | |||
B | SE | t | p | |
X (burnout) | −0.241 | 0.078 | −3.068 | 0.002 |
Constant | 4.403 | 0.053 | 81.658 | 0.000 |
B, Beta; SE, Standard error; Bootstrap sample size = 10,000.