Predictors and moderators of problem‐focused social skills training versus resource activation for children with disruptive behavior problems

Abstract Background Not all children benefit equally from evidence‐based treatments for disruptive behavior disorders (DBD). In a previous randomized controlled trial (RCT), computer‐facilitated social skills training (ScouT) demonstrated superior efficacy over solution‐focused, resource‐oriented treatment (STARK) in reducing parent‐rated peer‐related aggression in children with DBD. This study explores predictors and moderators of these treatments to determine which subgroups respond differently. Methods The sample included N = 100 children aged 6–12 years with DBD and peer‐related aggression. Using an exploratory approach, we selected potential predictors and moderators (child and sociodemographic characteristics, symptom severity, comorbid symptoms, parental distress, and treatment adherence) based on their associations with post‐treatment parent‐rated peer‐related aggression. We subsequently conducted hierarchical multiple regression analyses and single moderation analyses to identify predictors and moderators of the treatment effects. Results Treatment adherence and most pre‐treatment child and family characteristics were not significant predictors or moderators. In moderation analyses, ScouT showed stronger effects than STARK on parent‐rated peer‐related aggression in children with low levels of parent‐rated internalizing symptoms and low levels of clinician‐rated DBD symptoms at pre‐treatment. No significant group differences were detected in children with high levels of these variables. In hierarchical multiple regression analyses, younger age, higher functional impairment, and higher internalizing symptoms at pre‐treatment predicted poorer outcomes, nonspecific to treatment type. Results differed across secondary analyses using teacher‐ and child‐rated outcomes. Conclusion Moderation analyses support the robustness of RCT findings: ScouT's superior efficacy in reducing parent‐rated peer‐related aggression seems to hold across various characteristics. However, children with high levels of internalizing symptoms and high DBD symptom severity may need more targeted or longer treatment. The small effect sizes of the moderation effects limit the relevance of the findings for clinical practice. Age, functional impairment, and internalizing symptoms predict outcome irrespective of the treatment modality. These findings should inform future hypothesis‐testing studies.

Authors

Institutions

Publication Details

Journal
JCPP Advances
Published
2026-08-25
DOI
https://doi.org/10.1002/jcv2.70170
Primary Topic
Child and Adolescent Psychosocial and Emotional Development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictors and moderators of problem‐focused social skills training versus resource activation for children with disruptive behavior problems

Anja Goertz‐Dorten, Leonie Hofmann, Christina Dose, Manfred Döpfner
JCPP Advances
Child and Adolescent Psychosocial and Emotional Development
article

Predictors and moderators of problem‐focused social skills training versus resource activation for children with disruptive behavior problems

Anja Goertz‐Dorten, Leonie Hofmann, Christina Dose, Manfred Döpfner
article en

Abstract

Abstract Background Not all children benefit equally from evidence‐based treatments for disruptive behavior disorders (DBD). In a previous randomized controlled trial (RCT), computer‐facilitated social skills training (ScouT) demonstrated superior efficacy over solution‐focused, resource‐oriented treatment (STARK) in reducing parent‐rated peer‐related aggression in children with DBD. This study explores predictors and moderators of these treatments to determine which subgroups respond differently. Methods The sample included N = 100 children aged 6–12 years with DBD and peer‐related aggression. Using an exploratory approach, we selected potential predictors and moderators (child and sociodemographic characteristics, symptom severity, comorbid symptoms, parental distress, and treatment adherence) based on their associations with post‐treatment parent‐rated peer‐related aggression. We subsequently conducted hierarchical multiple regression analyses and single moderation analyses to identify predictors and moderators of the treatment effects. Results Treatment adherence and most pre‐treatment child and family characteristics were not significant predictors or moderators. In moderation analyses, ScouT showed stronger effects than STARK on parent‐rated peer‐related aggression in children with low levels of parent‐rated internalizing symptoms and low levels of clinician‐rated DBD symptoms at pre‐treatment. No significant group differences were detected in children with high levels of these variables. In hierarchical multiple regression analyses, younger age, higher functional impairment, and higher internalizing symptoms at pre‐treatment predicted poorer outcomes, nonspecific to treatment type. Results differed across secondary analyses using teacher‐ and child‐rated outcomes. Conclusion Moderation analyses support the robustness of RCT findings: ScouT's superior efficacy in reducing parent‐rated peer‐related aggression seems to hold across various characteristics. However, children with high levels of internalizing symptoms and high DBD symptom severity may need more targeted or longer treatment. The small effect sizes of the moderation effects limit the relevance of the findings for clinical practice. Age, functional impairment, and internalizing symptoms predict outcome irrespective of the treatment modality. These findings should inform future hypothesis‐testing studies.

JCPP Advances
University of Cologne (DE), University Hospital Cologne (DE)
Openalex Percentile: Top 6%
Child and Adolescent Psychosocial and Emotional Development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.