A Pilot Study to Identify Comparison Schools for Math and Science Partnership Participating Schools: Preliminary Findings on One Math/Science Partnership

Autor/inn/en	Wong, Kenneth K.; Socha, Ted
Titel	A Pilot Study to Identify Comparison Schools for Math and Science Partnership Participating Schools: Preliminary Findings on One Math/Science Partnership
Quelle	In: Peabody Journal of Education, 83 (2008) 4, S.654-673 (20 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0161-956X
Schlagwörter	Partnerships in Education; Pilot Projects; Program Evaluation; Evaluation Research; Matched Groups; Predictor Variables; Mathematics Achievement; Science Achievement; Research Design; Achievement Gains; Research Methodology; Cluster Grouping; Test Norms; Comparative Testing + Suchen Sie Ihr Suchwort? Hochschulpartnerschaft; Pilot project; Modellversuch; Pilotprojekt; Programme evaluation; Programmevaluation; Evaluationsforschung; Prädiktor; Mathmatics sikills; Mathmatics achievement; Mathematical ability; Mathematische Kompetenz; Forschungsdesign; Achievement gain; Leistungssteigerung; Research method; Forschungsmethode; Eingruppierung; Testnorm
Abstract	This pilot study proposes a set of analytical steps for comparing schools that participate in the National Science Foundation's Math and Science Partnership (MSP) Program and their nonparticipating peers in the same state. This pilot is part of a larger effort to evaluate the MSP Program's role in student achievement, with two companion analyses. Although our pilot study uses a comparative approach, the study by Dimitrov in this issue follows a within-group design. The third analysis by Yin and his associates in this issue covers the varied designs used by the MSPs themselves in their own evaluations.In this pilot, we focus on a sample of participating schools in one MSP in one state. The nonparticipating schools were carefully matched with the program participating schools on eight demographic variables to form a comparison group. This article offers detailed documentation on how we operationalize two matching methods for comparative purpose. We conclude that carefully executed matching methods are promising for large scale comparative analysis on the effects of the MSP Program across different states. (Contains 2 footnotes and 10 tables.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10