A D-Estimator for Single-Case Designs

Autor/inn/en	Shadish, William; Hedges, Larry; Pustejovsky, James; Rindskopf, David
Institution	Society for Research on Educational Effectiveness (SREE)
Titel	A D-Estimator for Single-Case Designs
Quelle	(2012), (5 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Effect Size; Experiments; Sample Size; Comparative Analysis; Research; Statistics + Suchen Sie Ihr Suchwort? Erprobung; Forschung; Statistik
Abstract	Over the last 10 years, numerous authors have proposed effect size estimators for single-case designs. None, however, has been shown to be equivalent to the usual between-groups standardized mean difference statistic, sometimes called d. The present paper remedies that omission. Most effect size estimators for single-case designs use the within-person variance as the standardization factor for the effect size. But in the usual between-groups study, like a randomized experiment, the between-person variance is the standardization factor. Taking advantage of the fact that most studies that use single-case design methodology report results from more than one case, the authors show how a d-statistic can be developed that is equivalent to the between-groups estimator. The new d-estimator is complex, requiring knowledge of the autocorrelation, the within-person variability, and the between-person variability. (ERIC).
Anmerkungen	Society for Research on Educational Effectiveness. 2040 Sheridan Road, Evanston, IL 60208. Tel: 202-495-0920; Fax: 202-640-4401; e-mail: inquiries@sree.org; Web site: http://www.sree.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10