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Goldhaber, Dan; Walch, Joe; Gabele, Brian – Center for Education Data & Research, 2012
Policymakers appear increasingly inclined to utilize measures of student achievement, often state assessment results, to inform high-stakes teacher personnel decisions. This has been spurred on by the federal government's Teacher Incentive Fund (TIF) and Race to the Top (RttT) grant programs, each of which urge states and localities to tie teacher…
Descriptors: Models, Academic Achievement, Teacher Evaluation, Performance Based Assessment
Huntington-Klein, Nick – Center for Education Data & Research, 2015
The decision to pursue formal education has significant labor market implications. To approach the decision rationally, a student must consider the costs and benefits of each available option. However, mounting empirical evidence suggests that reported expectations of costs and benefits are uncertain and vary across students. Hastings et al.…
Descriptors: Prediction, Labor Market, Decision Making, Higher Education
Krieg, John; Theobald, Roddy; Goldhaber, Dan – Center for Education Data & Research, 2015
We use data from Washington State to examine two distinct stages of the teacher pipeline: the placement of prospective teachers in student teaching assignments; and the hiring of prospective teachers into their first teaching positions. We find that prospective teachers are likely to complete their student teaching near their college and…
Descriptors: Student Teaching, Teacher Placement, Preservice Teachers, Geographic Location
Goldhaber, Dan; Bignell, Wes; Farley, Amy; Walch, Joe; Cowan, James – Center for Education Data & Research, 2014
In this paper we report on research examining the revealed preferences of teachers in Denver Public Schools who were given the opportunity to select between remaining on a traditional salary schedule or opting in to one of the nation's highest profile pay reform systems, Denver's Professional Compensation System for Teachers. The incentive…
Descriptors: Preferences, Compensation (Remuneration), Incentives, Labor Market
Goldhaber, Dan; Liddle, Stephanie; Theobald, Roddy; Walch, Joe – Center for Education Data & Research, 2010
Stories about the importance of teacher effectiveness for student achievement are currently ubiquitous in the media (Gladwell 2008; Kristoff 2009; Felch et al 2010). Teacher quality is also the focus of significant national efforts and investments. A growing body of quantitative research supports the focus on teacher and teacher effectiveness.…
Descriptors: Academic Achievement, Mathematics Achievement, Teacher Effectiveness, Credentials
Cowan, James; Goldhaber, Dan – Center for Education Data & Research, 2015
We study the effectiveness of teachers certified by the National Board for Professional Teaching Standards (NBPTS) in Washington State, which has one of the largest populations of National Board Certified Teachers (NBCTs) in the nation. Based on value-added models in math and reading, we find that NBPTS certified teachers are about 0.01-0.05…
Descriptors: National Standards, Alternative Teacher Certification, Teacher Effectiveness, Mathematics Achievement
Goldhaber, Dan; Chaplin, Duncan – Center for Education Data & Research, 2012
In a provocative and influential paper, Jesse Rothstein (2010) finds that standard value added models (VAMs) suggest implausible future teacher effects on past student achievement, a finding that obviously cannot be viewed as causal. This is the basis of a falsification test (the Rothstein falsification test) that appears to indicate bias in VAM…
Descriptors: School Effectiveness, Teacher Effectiveness, Achievement Gains, Statistical Bias
Goldhaber, Dan; Goldschmidt, Peter; Sylling, Philip; Tseng, Fannie – Center for Education Data & Research, 2011
This paper reports on findings based on analyses of a unique dataset collected by ACT that includes information on student achievement in a variety of subjects at the high school level, which allow us to examine the relationship between teacher effect estimates derived from VAM specifications employing different student learning assumptions.…
Descriptors: Teacher Effectiveness, Prior Learning, Evidence, Inferences

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