Statistical Reform: Evidence-Based Practice, Meta-Analyses, and Single Subject Designs

Autor/inn/en	Jenson, William R.; Clark, Elaine; Kircher, John C.; Kristjansson, Sean D.
Titel	Statistical Reform: Evidence-Based Practice, Meta-Analyses, and Single Subject Designs
Quelle	In: Psychology in the Schools, 44 (2007) 5, S.483-493 (11 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0033-3085
DOI	10.1002/pits.20240
Schlagwörter	School Psychologists; Statistical Analysis; Hypothesis Testing; Intervention; Meta Analysis; Research Design; Models; Monte Carlo Methods; Effect Size; Risk; Error of Measurement + Suchen Sie Ihr Suchwort? School psychologist; Psychologists; School; Schools; Schulpsychologe; Schulpsychologin; Psychologe; Psychologin; Psychologen; Schule; Statistische Analyse; Hypothesenprüfung; Hypothesentest; Meta-analysis; Metaanalyse; Forschungsdesign; Analogiemodell; Monte-Carlo-Methode; Risiko; Messfehler
Abstract	Evidence-based practice approaches to interventions has come of age and promises to provide a new standard of excellence for school psychologists. This article describes several definitions of evidence-based practice and the problems associated with traditional statistical analyses that rely on rejection of the null hypothesis for the establishment of invention effectiveness. Meta-analysis as an approach to ascertain EBPs is reviewed along with the inherent difficulties associated with single subject design research such as autocorrelations. Four meta-analytic approaches are reviewed which include Percentage of Nonoverlapping Data points (PND), the Busk and Serlin: Assumption models, ITSACORR, and Hierarchical Linear Modeling (HLM). HLM is offered as the most promising approach for the analysis for single subject designs. Monte Carlo simulations are modeled with varying degrees of autocorrelations, differing numbers of data points, and simulated effects sizes to show that HLM is an acceptable approach for controlling the risk of Type I errors. (Contains 1 table.) (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10