Reconsidering Overlap-Based Measures for Quantitative Synthesis of Single-Subject Data

What They Tell Us and What They Don't

Mark Carter*

*Corresponding author for this work

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

Overlap-based measures are increasingly applied in the synthesis of single-subject research. This article considers two criticisms of overlap-based metrics, specifically that they do not measure magnitude of effect and do not adequately correspond with visual analysis. It is argued that these criticisms are based on fundamental misconceptions regarding the nature of effect sizes and their appropriate interpretation in single-subject research. Suggestions for considerations in evaluating single-subject research studies are offered, including the need to separately consider experimental control and magnitude of effect.

Original languageEnglish
Pages (from-to)378-390
Number of pages13
JournalBehavior Modification
Volume37
Issue number3
DOIs
Publication statusPublished - 2013

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