How Much Do the Effects of Education and Training Programs Vary across Sites? Evidence from Past Multisite Randomized Trials

Autor/inn/en	Weiss, Michael J.; Bloom, Howard S.; Verbitsky-Savitz, Natalya; Gupta, Himani; Vigil, Alma E.; Cullinan, Daniel N.
Titel	How Much Do the Effects of Education and Training Programs Vary across Sites? Evidence from Past Multisite Randomized Trials
Quelle	In: Journal of Research on Educational Effectiveness, 10 (2017) 4, S.843-876 (34 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1934-5747
DOI	10.1080/19345747.2017.1300719
Schlagwörter	Randomized Controlled Trials; Evidence; Models; Intervention; Outcome Measures; Case Studies; Multitrait Multimethod Techniques; Elementary Secondary Education; Postsecondary Education; Vocational Education; Effect Size; Control Groups; Experimental Groups; Site Analysis; Predictor Variables; Hypothesis Testing; Research Methodology; Research Design; Statistical Analysis + Suchen Sie Ihr Suchwort? Evidenz; Analogiemodell; Case study; Fallstudie; Case Study; Post-secondary education; Tertiäre Bildung; Ausbildung; Berufsbildung; Prädiktor; Hypothesenprüfung; Hypothesentest; Research method; Forschungsmethode; Forschungsdesign; Statistische Analyse
Abstract	Multisite trials, in which individuals are randomly assigned to alternative treatment arms within sites, offer an excellent opportunity to estimate the cross-site average effect of treatment assignment (intent to treat or ITT) "and" the amount by which this impact varies across sites. Although both of these statistics are substantively and methodologically important, only the first has been well studied. To help fill this information gap, we estimate the cross-site standard deviation of ITT effects for a broad range of education and workforce development interventions using data from 16 large multisite randomized controlled trials. We use these findings to explore hypotheses about factors that predict the magnitude of cross-site impact variation, and we consider the implications of this variation for the statistical precision of multisite trials. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01