Effects of School-Based Interventions for Preschoolers with Attention Deficit Hyperactivity Disorder Related Behaviors: A Meta-analysis

Abstract A meta-analysis evaluating the effects of school-based interventions for preschool students with attention deficit hyperactivity disorder (ADHD) was conducted using 12 outcome studies. Separate effect size analyses were performed including between-subjects, with-in-subjects, and single-subject experimental designs. Results indicated that between-subject studies focused on problem behaviors within classroom’s revealed an unweighted effect size of 0.53, whereas an effect size of 0.08 was noted when researchers focused on increasing prosocial behaviors. The within-subject pre-post treatment study results yielded an effect size of 0.58. The unweighted average effect size for single subject studies implementing multiple baseline and reversal designs was 2.06 as calculated using the BC-SMD method. Single-subject studies that utilized an alternating treatment design had effect sizes calculated using either PBM or PEM methods. The average effect size across measurements of disruptive behavior was calculated at 83% and 90%. Function-based interventions were associated with the highest effect sizes. These findings provide further evidence supporting the use of function based interventions in school based settings.

Authors

Institutions

Publication Details

Journal
Journal of Behavioral Education
Published
2026-05-30
DOI
https://doi.org/10.1007/s10864-026-09635-w
Primary Topic
Attention Deficit Hyperactivity Disorder
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effects of School-Based Interventions for Preschoolers with Attention Deficit Hyperactivity Disorder Related Behaviors: A Meta-analysis

Emily Kurland, Kara E. McGoey, Rachel Fridley, Reva Mathieu et al.
Journal of Behavioral Education
Attention Deficit Hyperactivity Disorder
article

Effects of School-Based Interventions for Preschoolers with Attention Deficit Hyperactivity Disorder Related Behaviors: A Meta-analysis

Emily Kurland, Kara E. McGoey, Rachel Fridley, Reva Mathieu, Veronica Derickson, Stephany Panza
article en

Abstract

Abstract A meta-analysis evaluating the effects of school-based interventions for preschool students with attention deficit hyperactivity disorder (ADHD) was conducted using 12 outcome studies. Separate effect size analyses were performed including between-subjects, with-in-subjects, and single-subject experimental designs. Results indicated that between-subject studies focused on problem behaviors within classroom’s revealed an unweighted effect size of 0.53, whereas an effect size of 0.08 was noted when researchers focused on increasing prosocial behaviors. The within-subject pre-post treatment study results yielded an effect size of 0.58. The unweighted average effect size for single subject studies implementing multiple baseline and reversal designs was 2.06 as calculated using the BC-SMD method. Single-subject studies that utilized an alternating treatment design had effect sizes calculated using either PBM or PEM methods. The average effect size across measurements of disruptive behavior was calculated at 83% and 90%. Function-based interventions were associated with the highest effect sizes. These findings provide further evidence supporting the use of function based interventions in school based settings.

Journal of Behavioral Education
Duquesne University (US)
Quality Education
Openalex Percentile: Top 6%
Attention Deficit Hyperactivity Disorder
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.