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2013 - Effects of School Racial Composition on K-12 Mathematics Outcomes: A Metaregression Analysis

Attribution: Mickelson, Roslyn Arlin, Bottia, Martha Cecilia, & Lambert, Richard
Researchers: Martha Cecilia BottiaRichard LambertRoslyn Arlin Mickelson
University Affiliation: University of North Carolina Charlotte
Email: RoslynMickelson@uncc.edu
Research Question:
The purpose of this article is to synthesize what the social, educational, and behavioral science literatures suggest is the contribution of school racial composition to race gaps in mathematics achievement.
Published: Yes
Journal Name or Institutional Affiliation: Review of Educational Research
Journal Entry: Vol. 83, No. 1, Pp. 121-158
Year: 2013
Findings:

– School racial isolation has a small statistically significant negative effect on overall building-level mathematics outcomes. This relationship is moderated by the size of the sample in the study and by the way the independent variable was operationalized.
– The effects are stronger in secondary compared to elementary grades, and racial gaps widen as students age. This suggests that the association of racial segregation with mathematics performance compounds over time.
– Studies with larger sample sizes yielded regression coefficients that were larger/less negative than studies with smaller sample sizes.
– Studies that included all racial groups in the minority concentration variable yielded effect sizes that were larger in absolute value than studies that used only a single racial group in the minority concentration variable.

**Put this is Spivack, too!

Scholarship Types: Journal Article Reporting Empirical ResearchKeywords: Academic AchievementElementary SchoolMathMeta-AnalysisRaceSchool Racial CompositionSecondary SchoolRegions: NationalMethodologies: QuantitativeResearch Designs: Previously Published DocumentsSecondary Survey DataAnalysis Methods: Hierarchical Linear ModelingMetaregression Analysis Sampling Frame:Previous Studies
Sampling Types: Non-Random - PurposiveAnalysis Units: DocumentData Types: Quantitative-Longitudinal
Data Description:

After applying inclusion criteria and obtaining missing descriptive statistics, 25 of the originally identified 56 studies about school racial composition and mathematics achievement remained in the sample.25 primary studies with 98 regression effect.

Inclusion criteria:
1.The study examined the effect of school composition on the math achievement of students.
2.The dependent variable was a score that measured math achievement (math item response theory [IRT] scores, math scale scores, etc. in 19 cases) or a composite score that included math achievement at the student level (overall GPA, GPA in mathematics courses, SAT total battery score, principal component analysis of Louisiana’s GEE standardized test raw scores in mathematics, language arts, and writing).
3.The sample involved K-12 students.
4.The study was written in English.
5.The primary study’s author employed appropriate statistical tools given the nature of the research design and the data set. By appropriate statistical tools, we refer to statistical techniques that allow researchers to conduct a more precise analyses where the relationship between student mathematics achievement and school racial composition may be mediated or moderated by other school, district, individual, or family factors.
6.The study was published, presented, or otherwise disseminated no earlier than 1990.

Databases searched included JSTOR, Psychology Abstracts, Sociology Abstracts, Google Scholar, ERIC, Educational Research Complete, Academic Search Premier, Project MUSE, National Bureau of Economic Research, and Dissertation Abstracts.

The categories included for coding were (a) identifying information (author, title, journal, date of dissemination), (b) publication status, (c) research design, (d) description of the data set, (e) sampling frame, (f) sample characteristics, (g) independent and dependent variables, (h) keywords, (i) analysis method, and (j) key findings.

Theoretical Framework:
Relevance:Race and STEM, Review of Research in STEM
Archives: K-16 STEM Abstracts
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