Table 2.
Parameter Estimates for the Lee Fatigue Scale and Lee Energy Scale GMM Latent Classes
| Fatigue | Lower Fatigue Class (na = 153) |
Higher Fatigue Class (na = 244) |
|---|---|---|
| Parameter Estimates | Means (SE) | |
| Intercept | 1.60*** (0.36) | 3.90*** (0.22) |
| Linear slope | −0.09 (0.12) | 0.13 (0.141 |
| Quadratic slope | 0.00 (0.02) | −0.02 (0.02) |
| Variances | ||
| Intercept | 0.26 (0.20) | 2.53*** (0.36) |
| Linear slope | 0b | 0.09*** (0.02) |
| Quadratic slope | 0b | 0b |
| Energy | Higher Energy Class (na = 127) |
Lower Energy Class (na = 270) |
| Parameter Estimates | Means (SE) | |
| Intercept | 5.82*** (0.76) | 4.35*** (0.16) |
| Linear slope | 0.10 (0.37) | −0.11 (0.14) |
| Quadratic slope | 0.03 (0.06) | 0.01 (0.04) |
| Variances | ||
| Intercept | 1.72 (1.60) | 1.07*** (0.21) |
| Linear slope | 0b | 0b |
| Quadratic slope | 0b | 0b |
***
p < .001
a
Predicted class sizes based on their most likely class membership
b
Random intercepts model only. Random slopes were fixed at zero to assist in estimation
Abbreviations: GMM = growth mixture model, SE = standard error