A multilevel meta-analysis of single-subject experimental design studies

Wim Van Den Noortgate · Patrick Onghena

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Meta-analysis and systematic reviews Statistical Methods and Bayesian Inference Psychology Research and Bibliometrics

Abstract

A multilevel approach is proposed to synthesize the results of single-subject experimental research by combining either raw data or effect-size measures. A multilevel meta-analysis of single-subject data allows us to make inferences not only about the effects for the participants that are investigated, but also about the generality of the effects. It also permits a systematic exploration of the possible moderating effect of study and participant characteristics. We also discuss the possibility of combining single-subject experimental research and group-comparison research in one single meta-analysis, and the difficulties involved, especially in making effect-size measures comparable for both kinds of studies.

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References

1988Statistical Methods for Meta-Analysis 1981Distribution Theory for Glass's Estimator of Effect Size and Related Estimators 2015Methods of Meta-Analysis: Correcting Error and Bias in Research Findings 1995The Handbook of Research Synthesis.1976Single Case Experimental Designs: Strategies for Studying Behavior Change 2004Methods of Meta-Analysis 1985Statistical Methods for Meta-Analysis 2002Combining effect size estimates in meta-analysis with repeated measures and independent-groups designs.

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