Table 2.
Regression 1 X= > M (a) | ||||
Predictor | Outcome = M (prevention-focused job crafting) | |||
B | SE | t | p | |
X (burnout) | 0.024 | 0.101 | −0.236 | 0.813 |
Constant | 0.084 | 0.068 | 0.121 | 0.903 |
Regression 2 X, M= > Y (c′ & b) | ||||
Predictor | Outcome = Y (self-efficacy) | |||
B | SE | t | p | |
X (burnout) | −0.239 | 0.078 | −3.057 | 0.002 |
M (prevention-focused job crafting) | 0.091 | 0.042 | 2.155 | 0.031 |
Constant | 4.402 | 0.053 | 82.082 | 0.000 |
Regression 3 total effect (c) | ||||
Predictor | Outcome = Y (self-efficacy) | |||
B | SE | t | p | |
X (burnout) | −0.246 | 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.