Table 5.
Study 4 results of unconditional univariate mixed models for BFS and TPA trajectories over the course of treatment
| Models and Effects | Caregiver |
Youth |
||||||
|---|---|---|---|---|---|---|---|---|
| Est | SE | p | r | Est | SE | p | r | |
| BFS Internalizing | ||||||||
| Model for the means | ||||||||
| Intercept | 8.88 | 0.55 | <.001 | 7.42 | 0.57 | <.001 | ||
| Linear slope (log days) | −0.70 | 0.11 | <.001 | −0.58 | 0.11 | <.001 | ||
| Model for the variance | ||||||||
| Intercept variance | 23.29 | 4.16 | <.001 | 25.30 | 4.58 | <.001 | ||
| Slope variance | −2.43 | 0.70 | .001 | −2.54 | 0.74 | .001 | ||
| Intercept-slope covariance | 0.88 | 0.17 | <.001 | −0.54 | 0.84 | 0.17 | <.001 | −0.55 |
| Residual variance | 8.98 | 0.29 | <.001 | 8.96 | 0.30 | <.001 | ||
| BFS Externalizing | ||||||||
| Model for the means | ||||||||
| Intercept | 10.49 | 0.69 | <.001 | 6.06 | 0.60 | <.001 | ||
| Linear slope (log days) | −0.61 | 0.13 | <.001 | −0.23 | 0.13 | .082 | ||
| Model for the variance | ||||||||
| Intercept variance | 38.45 | 6.62 | <.001 | 29.21 | 5.01 | <.001 | ||
| Slope variance | −3.91 | 1.04 | <.001 | −3.60 | 0.91 | <.001 | ||
| Intercept-slope covariance | 1.19 | 0.23 | <.001 | −0.58 | 1.30 | 0.24 | <.001 | −0.58 |
| Residual variance | 11.23 | 0.36 | <.001 | 8.20 | 0.28 | <.001 | ||
| BFS Total | ||||||||
| Model for the means | ||||||||
| Intercept | 19.37 | 0.91 | <.001 | 13.47 | 0.98 | <.001 | ||
| Linear slope (log days) | −1.31 | 0.19 | <.001 | −0.81 | 0.22 | <.001 | ||
| Model for the variance | ||||||||
| Intercept variance | 62.24 | 11.41 | <.001 | 75.87 | 13.27 | <.001 | ||
| Slope variance | −4.50 | 1.88 | .017 | −8.35 | 2.38 | .001 | ||
| Intercept-slope covariance | 2.45 | 0.49 | <.001 | −0.36 | 3.54 | 0.64 | <.001 | −0.51 |
| Residual variance | 26.31 | 0.85 | <.001 | 23.59 | 0.79 | <.001 | ||
| TPA Total | ||||||||
| Model for the means | ||||||||
| Intercept | 3.26 | 0.08 | <.001 | 2.75 | 0.09 | <.001 | ||
| Linear slope (log days) | −0.31 | 0.02 | <.001 | −0.32 | 0.02 | <.001 | ||
| Model for the variance | ||||||||
| Intercept variance | 0.38 | 0.09 | <.001 | 0.49 | 0.11 | <.001 | ||
| Slope variance | −0.05 | 0.02 | .019 | −0.04 | 0.02 | .051 | ||
| Intercept-slope covariance | 0.04 | 0.01 | <.001 | −0.40 | 0.03 | 0.01 | <.001 | −0.36 |
| Residual variance | 0.37 | 0.01 | <.001 | 0.43 | 0.01 | <.001 | ||
Note. Parameter estimates describe the log-linear trajectories of change for each progress monitoring scale by each informant (8 models estimated). Each model is decomposed into two parts: (a) the model for the means, which estimates the average score at baseline (fixed intercept) and average rate of change over time (log-linear slope); and (b) the model for the variance, which characterizes patterns of variation, covariation, and residual variance by which individuals deviate from these average trajectories. For interpretability, covariance terms are also reported as correlations.