Urban Institute

Texas

CALDER Authors

author Eric Hanushek

author Dan O'Brien

author Steven Rivkin


 

Related Publications


Direct link to paper Estimating Principal Effectiveness
Working Paper 32
Author(s): Gregory F. Branch, Eric A. Hanushek & Steven G. Rivkin

Much has been written about the importance of school leadership, but there is surprisingly little systematic evidence on this topic. This paper presents preliminary estimates of key elements of the market for school principals, employing rich panel data on principals from Texas State. The consideration of teacher movements across schools suggests that principals follow patterns quite similar to those of teachers – preferring schools that have less demands as indicated by higher income students, higher achieving students, and fewer minority students. Looking at the impact of principals on student achievement, there are some small but significant effects of the tenure of a principal in a school. Moreover, the variation in principal effectiveness tends to be largest in high poverty schools, consistent with hypothesis that principal ability is most important in schools serving the most disadvantaged students. Finally, principals who stay in a school tend to be more effective than those who move to other schools.

Published
: December 2009 |  Availability: PDF PDF  



Direct link to paper Before or After the Bell?: School Context and Neighborhood Effects on Student Achievement
Working Paper 28
Author(s): Paul A. Jargowsky and Mohamed El Komi

This paper explores the relative effects of school and neighborhood characteristics on student achievement. Previous empirical studies have estimated one of these effects in the absence of controls for the other, leading to potentially misleading results. School variables are more robust and explain a greater degree of the variance in test scores than neighborhood characteristics. Neighborhood level variables, as a group, are statistically significant even in the presence of school variables. The particular pattern of effects varies by the manner in which the school context was controlled, by poverty status, move status, and location in the conditional achievement distribution. But neighborhood always mattered. Even if neighborhood conditions are less robust than school context effects, concern about neighborhood conditions is still justified. Reducing the concentration of poverty and economic segregation may be the easiest way to decrease the “savage inequalities” that exist between schools.

Published: July 2009 |  Availability: PDF PDF




Direct link to paper Do Disadvantaged Urban Schools Lose Their Best Teachers?
Policy Brief 7
Author(s): Eric A. Hanushek, Steven G.Rivkin


This research brief examines differences in teacher effectiveness by school transition status and school characteristics in a large urban school district in Texas, using estimates of teacher effectiveness based on teacher contributions to student learning outcomes across classrooms. This research finds little or no evidence to support the view that more effective teachers have higher exit probabilities. In fact, the study finds that teachers who exit are significantly less effective, on average, than those who stay.

Published: November 2008 |  Availability: PDFPDF  ‌  print summaryPrinter-Friendly Summary




Direct link to paper The Texas FERPA Story
Policy Brief 5
Author(s): Dan M. O'Brien


This research brief describes the legal and operational structure of the Texas longitudinal data system related to recent changes in the Family Educational Rights and Privacy Act of 1974 (FERPA)—which establishes the rights of parents to access their children's educational records and protects the confidentiality of student information—that more closely align law and practice. The U.S. Department of Education's FERPA Final Regulations Amendments took effect January 8, 2009.

Published: November 2008 |  Availability: PDFPDF  ‌  print summaryPrinter-Friendly Summary




Direct link to paper Value-Added Analysis and Education Policy
Policy Brief 1
Author(s): Steven G. Rivkin

This brief describes estimation and measurement issues relevant to estimating the quality of instruction in the context of a cumulative model of learning. The discussion highlights the importance of accounting for student differences and the advantages of focusing on student achievement gains as opposed to differences in test scores.

Published: November 2007 |  Availability: PDFPDF  ‌  print summaryPrinter-Friendly Summary




Note: The research reported here was supported in part by the Institute of Education Sciences, U.S. Department of Education, through Grant R305A060018 to the Urban Institute. The opinions expressed are those of the authors and do not represent views of the Institute of Education Sciences, the U.S. Department of Education, or the Urban Institute.

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