Abstract
The articles in the previous, special issue of Evidence-Based Communication Assessment and Intervention provided an excellent review of the meta-analysis of single-case designs. This article weaves commentary about those articles into a larger narrative about two major lines of attack on this problem: the use of parametric approaches like regression and multilevel modeling, and the development of parametric and nonparametric effect-size estimators. On each of these two topics, we describe an agenda of research topics that need to be addressed; and we also introduce a new effect-size estimator that may prove to be comparable to the usual standardized mean difference statistics (d) widely used in between-groups analysis. The article ends with observations about ways in which developments in the meta-analysis of single-case designs may have far wider implications than previously appreciated.
Original language | English (US) |
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Pages (from-to) | 188-196 |
Number of pages | 9 |
Journal | Evidence-Based Communication Assessment and Intervention |
Volume | 2 |
Issue number | 3 |
DOIs | |
State | Published - 2008 |
Keywords
- Effect size
- Meta-analysis
- Multilevel models
- Single-case design
- Standardized mean difference statistic
ASJC Scopus subject areas
- Rehabilitation
- Linguistics and Language
- Cognitive Neuroscience
- Speech and Hearing