Table 2.
Parameter estimates for Morning and Evening Fatigue latent classa solutions over seven assessments, with dyad as a clustering variable.
| Parameter estimatesb | Very Low Morning Fatigue (1)
|
Low Morning Fatigue (2)
|
High Morning Fatigue (3)
|
Low Evening Fatigue (1)
|
Moderate Evening Fatigue (2)
|
High Evening Fatigue (3)
|
|---|---|---|---|---|---|---|
| n = 82 (32.5%) | n = 51 (20.2%) | n = 119 (47.2%) | n = 28 (11.1%) | n = 71 (28.2%) | n = 153 (60.7%) | |
| Means | Mean (S.E.) | Mean (S.E.) | ||||
| Intercept | 0.699***(0.136) | 1.768*** (0.204) | 3.647***(0.203) | 0.968*** (0.250) | 3.424*** (0.337) | 5.267***(0.224) |
| Linear slope | −0.143 (0.086) | −0.057 (0.144) | 0.325*(0.130) | −0.247 (0.129) | −0.180 (0.136) | 0.539***(0.089) |
| Quadratic slope | 0.016 (0.012) | 0.002 (0.020) | −0.060*** (0.019) | 0.032 (0.017) | 0.036 (0.021) | −0.071*** (0.014) |
| Variances | Variance (S.E.) | Variance (S.E.) | ||||
| Intercept | 0c | 0c | 1.580***(0.357) | 0c | 1.342*** (0.367) | 1.484***(0.394) |
| Linear slope | 0c | 0c | 0.052***(0.013) | 0c | 0.059**(0.020) | 0.008 (0.005) |
Abbreviations: S.E. = standard error.
*
p < .05,
**
p < .01,
***
p < .001.
a
Trajectory group sizes are for classification of individuals based on their most likely latent class probabilities.
b
Growth mixture model estimates were obtained with robust maximum likelihood, with dyad as a clustering variable to account for dependency between patients and family caregivers within the same dyad. Quadratic slope variances were fixed at zero to improve estimation.
c
Fixed at zero.