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Jessica Drescher; Anne Podolsky; Sean F. Reardon; Gabrielle Torrance – Grantee Submission, 2022
We use nearly 430 million standardized test scores, including test scores from more than 6,500 rural school districts, to describe educational opportunity in rural America. Although we find modest differences in outcomes between rural and nonrural students overall, these disparities are larger for specific socioeconomic, racial-ethnic, and…
Descriptors: Rural Areas, Educational Opportunities, Equal Education, Rural Schools
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Jessica Drescher; Anne Podolsky; Sean F. Reardon; Gabrielle Torrance – RSF: The Russell Sage Foundation Journal of the Social Sciences, 2022
We use nearly 430 million standardized test scores, including test scores from more than 6,500 rural school districts, to describe educational opportunity in rural America. Although we find modest differences in outcomes between rural and nonrural students overall, these disparities are larger for specific socioeconomic, racial-ethnic, and…
Descriptors: Rural Areas, Educational Opportunities, Equal Education, Rural Schools
Reardon, Sean F. – Stanford Center for Education Policy Analysis, 2018
I use standardized test scores from roughly 45 million students to describe the temporal structure of educational opportunity in over 11,000 school districts--almost every district in the US. For each school district, I construct two measures: the average academic performance of students in grade 3 and the within-cohort growth in test scores from…
Descriptors: Educational Opportunities, Standardized Tests, Academic Achievement, Achievement Gains
Schuchman, Matthew – ProQuest LLC, 2011
There is a deficit of male and female students entering the fields of math and science, and the need for highly educated individuals in these areas is expected to increase. While various factors may play a role in creating this deficit, there is a lack of research on one factor, that of student attitudes toward science. The theories of social…
Descriptors: Student Attitudes, Public Schools, Social Change, Data Analysis
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Owen, Steven V.; Toepperwein, Mary Anne; Pruski, Linda A.; Blalock, Cheryl L.; Liu, Yan; Marshall, Carolyn E.; Lichtenstein, Michael J. – Journal of Research in Science Teaching, 2007
The Women in Science Scale (WiSS) was first developed in 1984, and is still being used in contemporary studies, yet its psychometric properties have not been evaluated with current statistical methods. In this study, the WiSS was administered in its original 27-item form to 1,439 middle and high school students. Confirmatory factor analysis based…
Descriptors: Evaluation Research, Women Scientists, Factor Structure, Measures (Individuals)