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Effect Size Benchmarks for Response Elaboration Training: A Meta-Analysis.

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Response Elaboration Training (RET/M-RET) positively impacts content production in individuals with aphasia (PWA). This meta-analysis provides effect size benchmarks for comparing treatment outcomes in PWA.

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Area of Science:

  • Neuroscience
  • Speech-Language Pathology
  • Clinical Psychology

Background:

  • Single-case experimental designs (SCED) are common for evaluating treatments like Response Elaboration Training (RET) and Modified Response Elaboration Training (M-RET).
  • Consolidating SCED data is crucial for robust comparisons of treatment efficacy within and between individuals, and across different interventions.
  • Establishing effect size (ES) benchmarks facilitates comparison of individual results to group-level data.

Purpose of the Study:

  • To conduct a meta-analysis of SCED studies investigating RET/M-RET.
  • To determine standardized effect size (ES) benchmarks for RET/M-RET outcomes.
  • To enable comparison of individual treatment results to group data and other interventions.

Main Methods:

  • Systematic searches identified 20 RET/M-RET investigations.
  • Nine high-quality studies with consistent outcome measures were included in the meta-analysis.
  • Weighted effect sizes were calculated for 26 persons with aphasia (PWA) using data extracted from published graphs, assessing treated and untreated stimuli at post-treatment and follow-up.

Main Results:

  • The meta-analysis revealed positive effects of RET/M-RET for nearly all PWA participants.
  • Significant improvements in accurate content production were observed.
  • Effect size benchmarks for small, medium, and large effects were established for treated and untreated items at post-treatment and follow-up.

Conclusions:

  • RET/M-RET demonstrate a clear association with positive changes in content production for PWA.
  • The established ES benchmarks provide valuable tools for clinicians and researchers.
  • These benchmarks allow for standardized comparisons of individual patient performance against aggregated data and other therapeutic approaches.