A Simple Effect Size Estimator for Single Case Designs Using WinBUGS

Autor/inn/en	Rindskopf, David; Shadish, William; Hedges, Larry
Institution	Society for Research on Educational Effectiveness (SREE)
Titel	A Simple Effect Size Estimator for Single Case Designs Using WinBUGS
Quelle	(2012), (5 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Intervention; Effect Size; Bayesian Statistics; Research Design; Quasiexperimental Design; Models; Markov Processes; Monte Carlo Methods; Meta Analysis + Suchen Sie Ihr Suchwort? Forschungsdesign; Analogiemodell; Markowscher Prozess; Monte-Carlo-Methode; Meta-analysis; Metaanalyse
Abstract	Data from single case designs (SCDs) have traditionally been analyzed by visual inspection rather than statistical models. As a consequence, effect sizes have been of little interest. Lately, some effect-size estimators have been proposed, but most are either (i) nonparametric, and/or (ii) based on an analogy incompatible with effect sizes from group-based studies. As part of a research program conducted by Shadish, Hedges, and Rindskopf, this paper reports a beginning step to fill the gap between effect sizes in SCDs and in group-based designs. When, as is typically the case, an SCD involves multiple participants, it is possible to use variation among participants as a denominator in an effect size measure, as is done in between-group research. A simple estimator of this type can easily be implemented using WinBUGS, a Bayesian program that has extreme flexibility. (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