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Meta-analyses and effect sizes in applied behavior analysis: A review and discussion
Art Dowdy1, Corey Peltier2, Matt Tincani1
1Department of Teaching and Learning, Temple University.
Journal of Applied Behavior Analysis
|July 5, 2021
Summary
Meta-analyses synthesize data from multiple studies, and this approach is now used for single-case experimental designs (SCED). These methods help answer questions about intervention effectiveness using SCED data in behavior analysis.
Area of Science:
- Behavior Analysis
- Research Methodology
Background:
- Meta-analyses have synthesized experimental data for over 40 years.
- Single-case experimental design (SCED) researchers are increasingly using meta-analysis techniques.
- Meta-analysis allows synthesis of data from multiple SCED studies.
Purpose of the Study:
- To discuss meta-analysis techniques for SCED research.
- To explain the rationale for adapting meta-analysis to SCED studies.
- To review current indices for quantifying SCED data effects.
Main Methods:
- Discussion of meta-analysis techniques.
- Adaptation of meta-analysis for SCED data.
- Review of effect size indices for SCED.
Main Results:
- Meta-analysis provides a powerful tool for synthesizing SCED findings.
- Established meta-analysis techniques can be adapted for SCED data.
- Various indices exist to quantify effect sizes in SCED.
Conclusions:
- Meta-analysis is valuable for drawing robust conclusions from SCED research.
- The adaptation of meta-analysis enhances the utility of SCED studies.
- Quantifying effect sizes is crucial for understanding intervention impact in SCED.
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