Table 6.
Treatment Condition Model | Condition & Promotion Focus Model | Condition & Prevention Focus Model | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Fixed Effects | Estimate | Standard Error |
t | p | Estimate | Standard Error |
t | p | Estimate | Standard Error |
t | p |
Intercept | 16.24 | 1.85 | 8.79 | < .001 | 16.24 | 1.87 | 8.70 | < .001 | 16.43 | 1.80 | 9.13 | < .001 |
Session: Linear | −.58 | .14 | 4.01 | < .001 | −.55 | .15 | 3.67 | .001 | −.53 | .16 | 3.43 | .001 |
Condition | −2.89 | 2.58 | 1.12 | .268 | −2.87 | 2.58 | 1.11 | .271 | −3.53 | 2.54 | 1.39 | .171 |
Condition x Session |
−.10 | .23 | .46 | .648 | −.13 | .22 | .60 | .549 | .06 | .19 | .30 | .766 |
Promotion | −1.47 | 2.39 | .62 | .542 | ||||||||
Promotion x Session |
−.22 | .17 | 1.35 | .185 | ||||||||
Promotion x Treatment |
.79 | 2.96 | .27 | .789 | ||||||||
Promotion x Session x Treatment |
.47 | .21 | 2.18 | .034 | ||||||||
Prevention | −1.22 | 1.85 | .66 | .512 | ||||||||
Prevention x Session |
−.12 | .15 | .77 | .446 | ||||||||
Prevention x Treatment |
−.51 | 3.19 | .16 | .874 | ||||||||
Prevention x Session x Treatment |
.66 | .28 | 2.38 | .022 | ||||||||
Random Effects |
Variance Component |
df |
Chi square |
p |
Variance Component |
df |
Chi square |
p |
Variance Component |
df |
Chi square |
p |
Intercept (µ0) | 80.13 | 45 | 595.41 | < .001 | 83.29 | 43 | 401.78 | < .001 | 80.64 | 43 | 574.12 | < .001 |
Linear Slope (µ1) | .45 | 45 | 233.16 | < .001 | .46 | 43 | 280.04 | < .001 | .34 | 43 | 189.68 | < .001 |
L1 Residual (rij) | 20.51 | 20.52 | 20.45 | |||||||||
Model Fit | Deviance | Parameters | AIC | BIC | Deviance | Parameters | AIC | BIC | Deviance | Parameters | AIC | BIC |
3671.89 | 4 | 3679.89 | 3697.39 | 3663.67 | 4 | 3671.08 | 3689.17 | 3657.81 | 4 | 3665.81 | 3683.31 |
Note. n = 49 participants (Level 2), 587 observed sessions (Level 1; 16 maximum per participant). Session is coded 0 (first week) to 15 in increments of 1. Condition is coded 0 = CBT, 1 = SST. Prevention and Promotion scores are standardized. AIC = Akaike Information Criterion; BIC = Bayesian Information Criterion.