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Showing all 12 results Save | Export
Schmitt, Lisa; Hutchins, Shaun – Online Submission, 2016
This report provides an overview of the process used to derive a school's growth level and summarizes 2015 math and reading/ELA growth levels for all AISD elementary, middle and high schools. Additionally, longitudinal data are provided for each school level.
Descriptors: School Districts, Academic Achievement, Elementary School Students, Middle School Students
Ewing, Maureen; Wyatt, Jeffrey N.; Smith, Kara – College Board, 2016
Historically, AP Potential™ has used PSAT/NMSQT® scores to identify students who are likely to earn a 3 or higher on a specific AP® Exam--based on research showing moderate to strong relationships between PSAT/NMSQT scores and AP Exam scores (Camara & Millsap, 1998; Ewing, Camara & Millsap, 2006; Zhang, Patel & Ewing, 2014a). For most…
Descriptors: Advanced Placement Programs, Talent Identification, College Entrance Examinations, High School Students
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Bohrnstedt, G.; Kitmitto, S.; Ogut, B.; Sherman, D.; Chan, D. – National Center for Education Statistics, 2015
The School Composition and the Black-White Achievement Gap study was undertaken by the National Center for Education Statistics to present both descriptive and associative information on the relationships among the percentage of students in a school who were Black (referred to as "Black student density" or "density"), the…
Descriptors: School Demography, Racial Composition, Achievement Gap, African American Students
Lipscomb, Stephen; Chiang, Hanley; Gill, Brian – Mathematica Policy Research, Inc., 2012
The Commonwealth of Pennsylvania plans to develop a new statewide evaluation system for teachers and principals in its public schools by school year 2013-2014. To inform the development of this evaluation system, the Team Pennsylvania Foundation (Team PA) undertook the first phase of the Pennsylvania Teacher and Principal Evaluation…
Descriptors: Academic Achievement, Models, Outcomes of Education, Teacher Evaluation
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Olsen, Robert B.; Unlu, Fatih; Price, Cristofer; Jaciw, Andrew P. – National Center for Education Evaluation and Regional Assistance, 2011
This report examines the differences in impact estimates and standard errors that arise when these are derived using state achievement tests only (as pre-tests and post-tests), study-administered tests only, or some combination of state- and study-administered tests. State tests may yield different evaluation results relative to a test that is…
Descriptors: Achievement Tests, Standardized Tests, State Standards, Reading Achievement
Johnson, Matthew; Lipscomb, Stephen; Gill, Brian; Booker, Kevin; Bruch, Julie – Mathematica Policy Research, Inc., 2012
At the request of Pittsburgh Public Schools (PPS) and the Pittsburgh Federation of Teachers (PFT), Mathematica has developed value-added models (VAMs) that aim to estimate the contributions of individual teachers, teams of teachers, and schools to the achievement growth of their students. The authors' work in estimating value-added in Pittsburgh…
Descriptors: Public Schools, Outcomes of Education, Academic Achievement, Teacher Effectiveness
Lipscomb, Stephen; Teh, Bing-ru; Gill, Brian; Chiang, Hanley; Owens, Antoniya – Mathematica Policy Research, Inc., 2010
This report summarizes research findings and implementation practices for teacher and principal value-added models (VAMs), as a first step in the Team Pennsylvania Foundation's (Team PA) pilot project to inform the development of a full, statewide model evaluation system. We have selected 21 studies that represent key issues and findings in the…
Descriptors: Pilot Projects, Outcomes of Education, Principals, Models
Dahl, Gordon; Lochner, Lance – Institute for Research on Poverty, 2009
Past estimates of the effect of family income on child development have often been plagued by endogeneity and measurement error. In this paper, we use two simulated instrumental variables strategies to estimate the causal effect of income on children's math and reading achievement. Our identification derives from the large, non-linear changes…
Descriptors: Family Income, Academic Achievement, Evidence, Tax Credits
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Ingels, Steven J.; Pratt, Daniel J.; Wilson, David; Burns, Laura J.; Currivan, Douglas; Rogers, James E.; Hubbard-Bednasz, Sherry – National Center for Education Statistics, 2007
The Data File Documentation reports on the procedures and methodologies employed during the Education Longitudinal Study of 2002 base year, first, and second follow-ups, with special emphasis on the second follow-up (2006). The document is designed to provide guidance for users of the restricted-use data as released in Electronic Codebook (ECB)…
Descriptors: Longitudinal Studies, Research Methodology, High School Students, Data Collection
Cronin, John – Northwest Evaluation Association, 2004
Recently NWEA completed a project to connect the scale of the WKCE with NWEA's RIT scale. Six Wisconsin school systems participated in the study, using test information from a group of over 1,500 students enrolled in fourth, eighth, and tenth grade who took both the WKCE and NWEA tests in the fall of 2003. Information from these tests was used in…
Descriptors: Achievement Tests, Standardized Tests, Reading Achievement, Mathematics Achievement
New Mexico Public Education Department, 2007
The purpose of the NMSBA technical report is to provide users and other interested parties with a general overview of and technical characteristics of the 2007 NMSBA. The 2007 technical report contains the following information: (1) Test development; (2) Scoring procedures; (3) Summary of student performance; (4) Statistical analyses of item and…
Descriptors: Interrater Reliability, Standard Setting, Measures (Individuals), Scoring
Griph, Gerald W. – New Mexico Public Education Department, 2006
The purpose of the NMSBA technical report is to provide users and other interested parties with a general overview of and technical characteristics of the 2006 NMSBA. The 2006 technical report contains the following information: (1) Test development; (2) Scoring procedures; (3) Calibration, scaling, and equating procedures; (4) Standard setting;…
Descriptors: Interrater Reliability, Standard Setting, Measures (Individuals), Scoring