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. Author manuscript; available in PMC: 2019 May 1.
Published in final edited form as: J Abnorm Child Psychol. 2018 May;46(4):825–837. doi: 10.1007/s10802-017-0323-4

Table 3. Hierarchical Linear Modeling Predicting Child Depressive Symptoms, Using Weekly Symptom Ratings from Children (Model 1) and Parents (Model 2) Across Treatment.

Model 1: DV = Youth-reported youth internalizing problems
Fixed Effect Coefficient SE t-ratio df. p-value
Intercept, π0
 Intercept, β00 -0.50 0.99 -0.44 29 0.66
 Parental depressive symptoms, β01 2.30 0.70 3.49 29 <0.01
Days Into Treatment slope, π1
 Intercept, β10 -0.02 0.01 -3.35 29 <0.01
 Parental depressive symptoms, β11 0.01 <0.00 2.35 29 0.02
Child Age slope, π2
 Intercept, β20 -0.01 0.19 -0.13 649 0.90

Random Effect Variance Component SD χ2 df p-value

 Intercept, r0i 3.65 1.91 551.23 29 <0.01
 Day slope, r1 <0.01 0.01 226.45 29 <0.01

Model 2: DV = Parent-reported youth internalizing problems
Fixed Effect Coefficient SE t-ratio df. p-value

Intercept, π0
 Intercept, β00 1.50 1.64 0.09 29 0.37
 Parental depressive symtpoms, β01 1.49 0.79 1.85 29 0.04
Days Into Treatment slope, π1
 Intercept, β10 -0.04 0.01 -2.96 29 0.01
 Parental depressive symptoms, β11 0.02 0.01 2.32 29 0.03
Child Age slope, π2
 Intercept, β20 0.18 0.20 0.79 646 0.41

Random Effect Variance Component SD χ2 df p-value

 Intercept, r0i 5.46 2.34 401.26 29 <0.01
 Day slope, r1 <0.01 0.01 185.34 29 <0.01