Table 2.
Results of multilevel structural equation modeling predicting day-level exhaustion (unstandardised estimates).
| Effects | Model 0 | Model 1 | Model 2 | Model 3 | Model 4 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Est. | SE | CI 95% | Est. | SE | CI 95% | Est. | SE | CI 95% | Est. | SE | CI 95% | Est. | SE | CI 95% | |
| Fixed effects | |||||||||||||||
| Intercept (γ00) | 3.29 | 0.07 | (3.12, 3.41) | 3.28 | 0.08 | (3.14, 3.44) | 3.32 | 0.07 | (3.20, 3.46) | 3.31 | 0.08 | (3.17, 3.45) | 3.34 | 0.08 | (3.18, 3.46) |
| Recovery (γ10) | −0.21 | 0.04 | (−0.29, −0.14) | −0.21 | 0.04 | (−0.29, −0.12) | −0.20 | 0.05 | (−0.30, −0.12) | −0.20 | 0.05 | (−0.29, −0.11) | |||
| Workaholism (γ01) | 0.28 | 0.09 | (0.06, 0.41) | 0.26 | 0.09 | (0.06, 0.40) | |||||||||
| Rec * Wsm (γ11) | 0.11 | 0.05 | (0.02, 0.22) | ||||||||||||
| Random effects | |||||||||||||||
| Level 2 | |||||||||||||||
| Intercept (t00) | 0.55 | 0.10 | (0.40, 0.81) | 0.49 | 0.09 | (0.36, 0.72) | 0.42 | 0.09 | (0.27, 0.60) | 0.39 | 0.07 | (0.30, 0.53) | 0.36 | 0.08 | (0.24, 0.54) |
| Daily recovery slope (t11) | 0.07 | 0.03 | (0.04, 0.14) | 0.07 | 0.03 | (0.04, 0.13) | 0.07 | 0.02 | (0.03, 0.12) | ||||||
| Level 1 | |||||||||||||||
| (σ2) | 0.39 | 0.03 | (0.34, 0.46) | 0.37 | 0.03 | (0.32, 0.44) | 0.34 | 0.03 | (0.28, 0.39) | 0.33 | 0.03 | (0.28, 0.38) | 0.33 | 0.02 | (0.29, 0.38) |
| Deviance | |||||||||||||||
| (−2*log likelihood) | 1105.03 | 1062.96 | 1046.11 | 1036.73 | 1031.66 | ||||||||||
| Diff −2*log likelihood | 42.07 *** | 16.85 *** | 9.38 ** | 5.07 * | |||||||||||
Notes: *** p < 0.001; ** p < 0.01; * p < 0.05; CI = confidence interval. Day-level data was averaged across the 5 days.