Reconsidering Overlap-Based Measures for Quantitative Synthesis of Single-Subject Data: What They Tell Us and What They Don't

Autor/in	Carter, Mark
Titel	Reconsidering Overlap-Based Measures for Quantitative Synthesis of Single-Subject Data: What They Tell Us and What They Don't
Quelle	In: Behavior Modification, 37 (2013) 3, S.378-390 (13 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0145-4455
DOI	10.1177/0145445513476609
Schlagwörter	Statistical Analysis; Measurement Techniques; Effect Size; Data Interpretation; Meta Analysis; Research Methodology; Research Problems; Misconceptions + Suchen Sie Ihr Suchwort? Statistische Analyse; Messtechnik; Data evaluation; Datenauswertung; Meta-analysis; Metaanalyse; Research method; Forschungsmethode; Forschungskritik; Missverständnis
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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10