Model 0 (Null model) | Model 1 (Crude model) | Model 2 (adjusteda) | Model 3 (adjustedb) | Model 2a (adjustedb) | Model 2b (adjusteb) | Model 2c (adjustedb) | ||||||||
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Fixed effects | Coefficient (SE) | p value | Coefficient (SE) | p value | Coefficient (SE) | p value | Coefficient (SE) | p value | Coefficient (SE) | p value | Coefficient (SE) | p value | Coefficient (SE) | p value |
Intercept | -0.05 (0.07) | 0.467 | -0.05 (0.07) | 0.460 | -0.06 (0.07) | 0.434 | -0.06 (0.07) | 0.408 | -0.06 (0.07) | 0.421 | -0.06 (0.07) | 0.410 | -0.06 (0.07) | 0.409 |
Individual-level changes | Coefficient (SE) | p value | Coefficient (SE) | p value | Coefficient (SE) | p value | Coefficient (SE) | p value | Coefficient (SE) | p value | Coefficient (SE) | p value | Coefficient (SE) | p value |
Team job crafting (T2-T1) | 0.06 (0.20) | 0.777 | 0.06 (0.19) | 0.770 | 0.06 (0.19) | 0.771 | ||||||||
Crafting for task (T2-T1) | 0.05 (0.13) | 0.687 | ||||||||||||
Crafting for respect (T2-T1) | 0.001 (0.09) | 0.986 | ||||||||||||
Crafting for information(T2-T1) | 0.08 (0.21) | 0.710 | ||||||||||||
Ward-level changes | Coefficient (SE) | p value | Coefficient (SE) | p value | Coefficient (SE) | p value | Coefficient (SE) | p value | Coefficient (SE) | p value | Coefficient (SE) | p value | Coefficient (SE) | p value |
Team job crafting (T2-T1) | 0.17 (0.43) | 0.695 | 0.27 (0.46) | 0.557 | 0.22 (0.46) | 0.629 | ||||||||
Crafting for task (T2-T1) | 0.14 (0.34) | 0.687 | ||||||||||||
Crafting for respect (T2-T1) | 0.15 (0.29) | 0.609 | ||||||||||||
Crafting for information(T2-T1) | 0.11 (0.43) | 0.803 | ||||||||||||
Random effects | Coefficient | Coefficient | Coefficient | Coefficient | Coefficient | Coefficient | Coefficient | |||||||
Intercept (Ward) | 0.03 | 0.03 | 0.02 | 0.02 | 0.02 | 0.02 | 0.02 | |||||||
Residual variance | 0.99 | 0.99 | 0.99 | 0.99 | 0.99 | 0.99 | 0.99 | |||||||
AIC | 466.481 | 473.771 | 499.121 | 519.594 | Coefficient (SE) | p value | Coefficient (SE) | p value | Coefficient (SE) | p value |