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Quantifying ADHD classroom inattentiveness, its moderators, and variability: a meta-analytic review
Michael J Kofler1, Mark D Rapport, R Matt Alderson
1Department of Psychology, University of Central Florida, Orlando, FL 38217, USA.
Children with attention-deficit/hyperactivity disorder (ADHD) show significant classroom attention deficits compared to peers. These deficits are more pronounced and variable than previously estimated, impacting academic performance.
Area of Science:
- Neuroscience
- Developmental Psychology
- Educational Psychology
Background:
- Children with attention-deficit/hyperactivity disorder (ADHD) exhibit documented attention deficits in classroom settings compared to typically developing peers.
- The magnitude of these attention differences is variable and potentially influenced by various study-specific factors.
Purpose of the Study:
- To conduct a meta-analysis of classroom observation studies to quantify attention deficits in children with ADHD.
- To investigate the impact of methodological factors on observed attention differences.
- To provide an aggregate estimation of the magnitude of visual attention deficits in children with ADHD.
Main Methods:
- Meta-analysis of 23 between-group classroom observation studies.
- Utilized weighted regression, publication bias, goodness of fit, best case, and original metric analyses.
- Examined the influence of contextual, sampling, diagnostic, and observational variables.
Main Results:
- A large initial effect size (ES = .73) was found, potentially underestimated.
- Methodological factors significantly influenced observed attentive behavior.
- After accounting for moderators, children with ADHD were on-task 75% of the time versus 88% for peers (ES = 1.40).
- Children with ADHD demonstrated more variable attentive behavior.
Conclusions:
- Children with ADHD exhibit deficient and more variable visual attention in classrooms.
- The study provides an aggregate estimation of attention deficits at the group level.
- Situational, sampling, diagnostic, and observational variables significantly impact on-task behavior rates.
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