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Autor/inn/en | Rickles, Jordan H.; Seltzer, Michael |
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Titel | A Two-Stage Propensity Score Matching Strategy for Treatment Effect Estimation in a Multisite Observational Study |
Quelle | In: Journal of Educational and Behavioral Statistics, 39 (2014) 6, S.612-636 (25 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Zusatzinformation | Weitere Informationen |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1076-9986 |
DOI | 10.3102/1076998614559748 |
Schlagwörter | Computation; Probability; Observation; Algebra; Enrollment; Middle School Students; Grade 8; Control Groups; Matched Groups |
Abstract | When nonrandom treatments occur across sites, within-site matching (WM) is often desirable. This approach, however, can significantly reduce treatment group sample size and exclude substantively important subgroups. To limit these drawbacks, we extend a matching approach developed by Stuart and Rubin to a multisite study. We demonstrate the proposed method through a multisite analysis of algebra enrollment effects in 50 middle schools, where within each school students are assigned to algebra or pre-algebra and test the utility of the proposed method with a simulation study. The results document the method's conceptual appeal and indicate that two-stage matching is a viable alternative to strict WM or matching that ignores the nested data structure (pooled matching). (As Provided). |
Anmerkungen | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2017/4/10 |