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Meta-analysis of noncontingent reinforcement effects on problem behavior.
David M Richman1, Lucy Barnard-Brak, Laura Grubb
1Texas Tech University.
Journal of Applied Behavior Analysis
|March 11, 2015
Summary
Noncontingent reinforcement (NCR) significantly reduces problem behavior, with functional reinforcers showing slightly better outcomes than nonfunctional ones. Schedule thinning minimally impacts NCR
Area of Science:
- Behavioral Psychology
- Applied Behavior Analysis
Background:
- Noncontingent reinforcement (NCR) is a widely used intervention to decrease problem behavior.
- Understanding the precise effect sizes and influential variables in NCR is crucial for evidence-based practice.
Purpose of the Study:
- To quantitatively assess the overall effect size of NCR in reducing problem behavior.
- To compare the efficacy of NCR when using functional versus nonfunctional reinforcers.
- To examine the impact of schedule thinning on the effectiveness of NCR.
Main Methods:
- A meta-analysis was performed on data from 55 studies involving 91 participants.
- Hierarchical linear modeling was employed to analyze effect sizes.
- Outcomes were analyzed based on reinforcer type and schedule thinning.
Main Results:
- NCR demonstrated a very strong effect size (d = -1.58) for reducing problem behavior.
- Functional reinforcers were found to be slightly more effective than nonfunctional reinforcers.
- Schedule thinning led to a minor decrease in the effect size of NCR.
Conclusions:
- Meta-analysis of single-case design data provides robust quantitative estimates of intervention effectiveness.
- This methodology aids in identifying key variables influencing intervention outcomes and disseminating research findings.
- NCR is an empirically supported intervention for reducing problem behavior.
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