Table 3.
HGLM/HLM Models for the Effect of CBT Versus ESCT on POPE-JEGA Scores and YTP Scores
POPE-JEGA Scores | |||||
---|---|---|---|---|---|
Fixed Effect | Coefficient | Standard error | t-ratio | p-value | |
Intercept, γ00 | 2.5563 | 0.0739 | 34.604 | <.001 | |
Pre-Treatment POPE-JEGA Score, γ10 | 0.0152 | 0.0030 | 5.140 | <.001 | |
Study, γ20 | 0.2263 | 0.0936 | 2.418 | .021 | |
Treatment Condition, γ30 | −0.3211 | 0.0932 | −3.443 | <.001 | |
Random Effect | SD | Variance Component | df | χ2 | p-value |
Treatment Condition, u2 | 0.1182 | 0.0140 | 7 | 17.0318 | .017 |
YTP Scores | |||||
---|---|---|---|---|---|
Fixed Effect | Coefficient | Standard error | t-ratio | p-value | |
For Intercept-1, π0 | |||||
Intercept-3, γ000 | 21.6858 | 0.2330 | 93.043 | <.001 | |
Study, γ010 | −3.4546 | 0.3402 | −10.154 | <.001 | |
Treatment Condition, γ030 | −1.1277 | 0.3365 | −3.351 | <.001 | |
For Session Number slope, π1 | |||||
Intercept-3, γ100 | −0.3550 | 0.0421 | −8.414 | <.001 | |
Study, γ110 | 0.0406 | 0.0621 | 0.653 | .517 | |
Treatment Condition, γ120 | 0.2007 | 0.0643 | 3.121 | .003 | |
Random Effect | SD | Variance Component | df | χ2 | p-value |
Session Number, r1 | 0.2726 | 0.0743 | 41 | 946.7305 | <0.001 |
level-1, e | 3.9564 | 15.6528 | |||
Session Number/Treatment Condition, u12 | 0.0649 | 0.0042 | 7 | 11.1192 | .133 |
Note. HGLM/HLM=hierarchical (generalized) linear model. POPE-JEGA=Playground Observation of Peer Engagement Joint Engagement/Games with Rules scale. YTP=Youth Top Problems scale. CBT=cognitive behavioral therapy. ESCT=enhanced standard community treatment. HGLM for POPE-JEGA scores uses a Poisson distribution and a log-link function. HLM for YTP scores uses a normal distribution. The POPE-JEGA model is based on 20 multiply imputed datasets of the 84 participants with valid pre-treatment POPE-JEGA scores. The YTP model is based on all available weekly YTP data, including participants who have less than 32 weeks of data.