The state of the science in the meta-analysis of single-case experimental designs

William R. Shadish*, David M. Rindskopf, Larry V. Hedges

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

112 Scopus citations

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 languageEnglish (US)
Pages (from-to)188-196
Number of pages9
JournalEvidence-Based Communication Assessment and Intervention
Volume2
Issue number3
DOIs
StatePublished - 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

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