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The Nature and Extent of Component Analyses for Improving or Mitigating Behavior: A Systematic Review.
Benjamin S Riden1, Andrew M Markelz2, Salvador Ruiz3
1James Madison University, Harrisonburg, VA, USA.
Behavior Modification
|November 20, 2020
Summary
Component analysis identifies effective interventions for students with disabilities. This review found single components often drive behavior change, though some interventions require all parts.
Area of Science:
- Behavioral Science
- Special Education
- Research Methodology
Background:
- Component analysis is a research method to evaluate individual elements within a treatment package.
- It helps determine which specific intervention component is most effective for behavior change.
- Non-academic behaviors in students with disabilities often require targeted interventions.
Purpose of the Study:
- To review and document the application of component analyses in improving non-academic behaviors for individuals with disabilities.
- To identify the effectiveness of individual components within intervention packages.
- To synthesize findings from studies using component analysis in educational settings.
Main Methods:
- A systematic literature search was conducted to identify relevant research articles.
- Studies employing component analysis to evaluate treatment packages for students with disabilities were included.
- Data were extracted from 21 research articles, encompassing 22 cases.
Main Results:
- Out of 22 cases, 11 intervention packages demonstrated a single critical component responsible for behavior change.
- Two studies indicated that the entire intervention package was necessary for success.
- Nine articles reported variable results or did not identify a specific critical component.
Conclusions:
- Component analysis is a valuable tool for dissecting treatment packages and optimizing interventions for students with disabilities.
- Identifying critical components can lead to more efficient and effective behavior modification strategies.
- Further research is needed to explore the nuances and limitations of component analysis in single-case research.
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