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A Pilot Study to Identify Comparison Schools for Math and Science Partnership Participating Schools

Preliminary Findings on One Math/Science Partnership

Bibliographic Data

ID11259495
AuthorsKenneth K Wong (0000-0001-8560-9007, John Brown University, corresponding author), Ted Socha (National Institute for Education)
Year2008
Volume83
Issue4
Pages654-673
Publication date2008-10-28
Open AccessNo
TypeARTICLE
VenuePeabody Journal of Education (JOURNAL)
Journal identifiersISSN: 0161-956X • E-ISSN: 1532-7930
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/01619560802418677
OpenAlexW2005434738
LanguageEN
Citations received3
References cited11

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

Academic achievement · Documentation · Focus group · General partnership · Matching (statistics · Mathematics education · Medical education · Operationalization · Pilot program · Political science · Set (abstract data type · Sociology · Statistics · Student achievement · Computer Science · Educational Assessment and Improvement · Mathematics · Medicine · Parental Involvement in Education · Psychology · School Choice and Performance

  • Using state data sets and meta-analysis of low-powered studies to evaluate a school-based dropout prevention program for students with disabilities

    Open Access•Tom Munk, Ning Rui et al.•Studies In Educational Evaluation•2021

  • The Math and Science Partnership Program Evaluation

    Robert K Yin•Peabody Journal of Education•2008

  • Initial Trends in MSP-Related Changes in Student Achievement With MIS Data

    Dimiter M Dimitrov•Peabody Journal of Education•2008

  • Does Money Matter?

    Gary Burtless•Does Money Matter?•1996

  • Conceptual and Empirical Issues in the Estimation of Educational Production Functions

    Eric A Hanushek•The Journal of Human Resources•1979

  • Matching Using Estimated Propensity Scores

    Donald B Rubin, Neal Thomas•Biometrics•1996

  • Teachers, Schools, and Academic Achievement

    Open Access•Steven G Rivkin, Eric A Hanushek et al.•Econometrica•2005

  • Aggregation and the Estimated Effects of School Resources

    Eric A Hanushek, Steven G Rivkin et al.•The Review of Economics and…•1996

  • Does school accountability lead to improved student performance

    Open Access•Eric A Hanushek, Margaret Raymond et al.•Journal of Policy Analysis and…•2005

  • Initial Trends in MSP-Related Changes in Student Achievement With MIS Data

    Dimiter M Dimitrov•Peabody Journal of Education•2008

  • The Black-White Test Score Gap

    Christopher Jencks, Meredith Phillips•Black-White Test Score Gap•2011

Citations per year0.17
Citation span2008 - 2021 (14)
Highly citedNo

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