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Shayla Wiggins Savage – ProQuest LLC, 2024
The number of low-performing schools has drastically increased since COVID-19. During the 2018-2019 school year, there were 488 low-performing schools (North Carolina Department of Public Instruction, 2024). The number increased to 736 schools during the 2023- 2024 school year, a 50.8% increase (North Carolina Department of Public Instruction,…
Descriptors: Teacher Leadership, Discipline, Teacher Persistence, Grades (Scholastic)
Polikoff, Morgan – Policy Analysis for California Education, PACE, 2019
California is one of just two states (with Kansas) that does not use a student-level growth model to measure school performance. This brief lays out a number of common beliefs about growth models and provides evidence that these beliefs are inaccurate or unsupported. In so doing, the brief makes a positive case that the state should adopt such a…
Descriptors: Growth Models, School Effectiveness, Accountability, Misconceptions
Fazlul, Ishtiaque; Koedel, Cory; Parsons, Eric; Qian, Cheng – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2021
We evaluate the feasibility of estimating test-score growth with a gap year in testing data, informing the scenario when state testing resumes after the 2020 COVID-19-induced test stoppage. Our research design is to simulate a gap year in testing using pre-COVID-19 data--when a true test gap did not occur--which facilitates comparisons of…
Descriptors: Scores, Achievement Gains, Computation, Growth Models
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Pivovarova, Margarita; Amrein-Beardsley, Audrey – Educational Assessment, 2018
While states are no longer required to set up teacher evaluation systems based in significant part on student test scores, quite a few continue to use value-added (VAMs) or student growth percentile (SGP) models for that purpose. In this study, we analyzed three years of teacher data to illustrate the performance of teachers' median growth…
Descriptors: Growth Models, Teacher Evaluation, Value Added Models, Reliability
Blackorby, Jose; Taylor, Cornelia; Wei, Xin – IDEA Data Center, 2016
Educators are using growth models for a variety of accountability, instructional planning, and evaluation purposes in U.S. schools. This white paper, with a focus on special education populations, provides state and local education personnel with an overview of issues to consider with growth models, a look at models currently in use, and a…
Descriptors: Growth Models, Special Education, Outcomes of Education, State Programs
Close, Kevin; Amrein-Beardsley, Audrey; Collins, Clarin – Phi Delta Kappan, 2019
In 2016, the federal government proposed and adopted the Every Student Succeeds Act, which retracted the federal government's prior control over states' teacher evaluation systems, permitting more local control. Kevin Close, Audrey Amrein-Beardsley, and Clarin Collins collected information from states to determine the degree to which states were…
Descriptors: Teacher Evaluation, Elementary Secondary Education, Educational Legislation, Federal Legislation
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Ehlert, Mark; Koedel, Cory; Parsons, Eric; Podgursky, Michael – Educational Policy, 2016
The specifics of how growth models should be constructed and used for educational evaluation is a topic of lively policy debate in states and school districts nationwide. In this article, we take up the question of model choice--framed within a policy context--and examine three competing approaches. The first approach, reflected in the popular…
Descriptors: Growth Models, Value Added Models, Educational Assessment, Elementary Secondary Education
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Patrick, Drew – AASA Journal of Scholarship & Practice, 2016
New York State has used the Growth Model for Educator Evaluation ratings since the 2011-2012 school year. Since that time, student growth percentiles have been used as the basis for teacher and principal ratings. While a great deal has been written about the use of student test scores to measures educator effectiveness, less attention has been…
Descriptors: Teacher Evaluation, Teacher Effectiveness, Value Added Models, Multivariate Analysis
Texas Education Agency, 2016
Beginning in the 2017-2018 school year, appraisal systems in Texas, whether the state-recommended system or a locally developed system, will need to include a measure of student growth at the individual teacher level. Student growth measures how much a student progresses academically during his or her time with a particular teacher. It takes into…
Descriptors: Growth Models, Outcome Measures, Academic Achievement, Portfolio Assessment
Schulte, Ann C.; Stevens, Joseph J.; Nese, Joseph F. T.; Yel, Nedim; Tindal, Gerald; Elliott, Stephen N. – National Center on Assessment and Accountability for Special Education, 2018
This technical report is one of a series of four technical reports that describe the results of a study comparing eight alternative models for estimating school academic achievement using data from the Arizona, North Carolina, Oregon, and Pennsylvania accountability systems. The purpose of these reports was to evaluate a broad range of models…
Descriptors: School Effectiveness, Models, Computation, Comparative Analysis
Nese, Joseph F. T.; Stevens, Joseph J.; Schulte, Ann C.; Tindal, Gerald; Yel, Nedim; Anderson, Daniel; Matta, Tyler; Elliott, Stephen N. – National Center on Assessment and Accountability for Special Education, 2018
This technical report is one of a series of four technical reports that describe the results of a study comparing eight alternative models for estimating school academic achievement using data from the Arizona, North Carolina, Oregon, and Pennsylvania accountability systems. The purpose of these reports was to evaluate a broad range of models…
Descriptors: School Effectiveness, Models, Computation, Comparative Analysis
Reform Support Network, 2015
This publication summarizes the key discussion from experts in the field of measuring student growth during a convening held February 2015. Experts heard about two emerging approaches to measuring growth: Portfolios of student work samples and unit value-added models that provide teachers with timely and actionable feedback that they can use to…
Descriptors: Evaluation Methods, Portfolio Assessment, Teacher Evaluation, Teacher Effectiveness
Stevens, Joseph J.; Nese, Joseph F. T.; Schulte, Ann C.; Tindal, Gerald; Yel, Nedim; Anderson, Daniel; Matta, Tyler; Elliott, Stephen N. – National Center on Assessment and Accountability for Special Education, 2017
This technical report is one of a series of four technical reports that describe the results of a study comparing eight alternative models for estimating school academic achievement using data from the Arizona, North Carolina, Oregon, and Pennsylvania accountability systems. The purpose of these reports was to evaluate a broad range of models…
Descriptors: School Effectiveness, Models, Computation, Comparative Analysis
Schulte, Ann C.; Nese, Joseph F. T.; Stevens, Joseph J.; Yel, Nedim; Tindal, Gerald; Anderson, Daniel; Elliott, Stephen N. – National Center on Assessment and Accountability for Special Education, 2017
This technical report is one of a series of four technical reports that describe the results of a study comparing eight alternative models for estimating school academic achievement using data from the Arizona, North Carolina, Oregon, and Pennsylvania accountability systems. The purpose of these reports was to evaluate a broad range of models…
Descriptors: School Effectiveness, Models, Computation, Comparative Analysis
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
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