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Download full textWenglinsky, Harold – Education Policy Analysis Archives, 2006
The purpose of this article is to comment on the prior article entitled "Examining Instruction, Achievement and Equity with NAEP mathematics data," by Sarah Theule Lubienski. That article claims that a prior article by the author suffered from three weaknesses: (1) An attempt to justify No Child Left Behind (NCLB); (2) drawing causal…
Descriptors: Federal Legislation, Research Methodology, Inferences, Statistical Analysis
Wenglinsky, Harold – 1998
This report presents findings from a national study of the relationship between different uses of educational technology and various educational outcomes. Data were drawn from the 1996 National Assessment of Educational Progress (NAEP) in mathematics, consisting of national samples of 6,227 fourth graders and 7,146 eighth graders. Data include…
Descriptors: Access to Information, Computer Uses in Education, Educational Technology, Elementary School Students
Wenglinsky, Harold – 2000
This report study explored how improving teachers' classroom practice could improve teacher quality. Data were examined on 7,146 8th graders who took the National Assessment of Educational Progress (NAEP) mathematics assessment in 1996 and 7,776 8th graders who took the NAEP science assessment in 1996. Three types of teacher quality were measured:…
Descriptors: Academic Achievement, Classroom Techniques, Cooperative Learning, Diversity (Student)
Peer reviewedWenglinsky, Harold – Education Policy Analysis Archives, 2002
Explored the link between classroom practices and student academic performance by applying multilevel modeling to the 1996 National Assessment of Educational Progress in mathematics. Findings show that the effects of classroom practices, when added to other teacher characteristics, are comparable in size to those of student background, suggesting…
Descriptors: Academic Achievement, Educational Practices, Elementary Secondary Education, Mathematics Achievement
Peer reviewedWenglinsky, Harold – Educational Evaluation and Policy Analysis, 1998
Relates various types of educational spending to mean mathematics achievement and its social distribution among students using a nationally representative database of 7,217 12th graders. Spending on instruction and capital expenditures was related to differences in achievement between socioeconomic status groups, with lower spending associated…
Descriptors: Databases, Educational Equity (Finance), Educational Finance, Expenditure per Student
Wenglinsky, Harold – Education Policy Analysis Archives, 2004
No Child Left Behind calls for schools to close the achievement gap between races in math and reading. One possible way for schools to do so is to encourage their teachers to engage in practices that disproportionately benefit their minority students. The current study applies the technique of Hierarchical Linear Modeling to a nationally…
Descriptors: Federal Legislation, Academic Achievement, National Competency Tests, Racial Differences
