scholarly journals A Meta-Analysis of Social Communication Interventions for Students with Asperger Syndromes and Comparison of Effect Size for Single-Subject Research

2012 ◽  
Vol 19 (1) ◽  
pp. 321-359
Author(s):  
Eun-Kyung Kim
Keyword(s):  
Effect Size ◽  
Social Communication ◽  
Meta Analysis ◽  
Single Subject ◽  
Single Subject Research ◽  
Communication Interventions

Meta-Analysis in Single-Subject Evaluation Research

2021 ◽  
pp. 143-154
Author(s):  
Charles Auerbach
Keyword(s):  
Meta Analysis ◽  
Evaluation Research ◽  
Effect Sizes ◽  
Single Subject ◽  
Building Research ◽  
Single Subject Research ◽  
Research Designs ◽  
The Individual ◽  
Meta Analyses ◽  
Intervening Variables

Meta-analytic techniques can be used to aggregate evaluation results across studies. In the case of single-subject research designs, we could combine findings from evaluations with 5, 10 or 20 clients to determine, on average, how effective an intervention is. This is a more complex and sophisticated way of understanding differences across studies than reporting those changes qualitatively or simply reporting the individual effect sizes for each study. In this chapter, the authors discuss why meta-analysis is important to consider in single-subject research, particularly in the context of building research evidence. They then demonstrate how to do this using SSD for R functions. Building upon effect sizes, introduced in Chapter 4, the authors illustrate the conditions under which it is appropriate to use traditional effect sizes to conduct meta-analyses, how to introduce intervening variables, and how to evaluate statistical output. Additionally, the authors discuss and illustrate the computation and interpretation of a mean Non-Overlap of All Pairs in situations which traditional effect sizes cannot be used.

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