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Cowan, James; Goldhaber, Dan; Jin, Zeyu; Theobald, Roddy – American Educational Research Journal, 2023
We investigate the predictive validity of teacher licensure tests using data from the Massachusetts Tests for Educator Licensure (MTEL). MTEL scores predict teachers' in-service performance ratings and contributions to student test scores (i.e., value added). We then explore whether these relationships vary for teacher candidates of color.…
Descriptors: Teacher Certification, Teacher Competency Testing, Licensing Examinations (Professions), Predictive Validity
Fazlul, Ishtiaque; Koedel, Cory; Parsons, Eric; Qian, Cheng – Thomas B. Fordham Institute, 2021
When the COVID-19 pandemic hit the U.S. last spring, schools nationwide shut their doors and states cancelled annual standardized tests. Now federal and state policymakers are debating whether to cancel testing again in 2021. One factor they should consider is whether a two-year gap in testing will make it impossible to measure student-level…
Descriptors: COVID-19, Pandemics, Academic Achievement, Achievement Gains
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
Webb, Annie K. – ProQuest LLC, 2019
For decades, school districts across the Nation have been pressured to close the achievement gap among students and have been held accountable for student outcomes. According to past researchers, there is a need to revise completely the teacher evaluation practices used in the 1980s and 1990s to better measure teacher effectiveness. More recently,…
Descriptors: Teacher Effectiveness, Value Added Models, Teacher Evaluation, Observation
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Kane, Michael T. – ETS Research Report Series, 2017
By aggregating residual gain scores (the differences between each student's current score and a predicted score based on prior performance) for a school or a teacher, value-added models (VAMs) can be used to generate estimates of school or teacher effects. It is known that random errors in the prior scores will introduce bias into predictions of…
Descriptors: Error of Measurement, Value Added Models, Scores, Teacher Effectiveness
Tom Swiderski; Sarah Crittenden Fuller; Kevin C. Bastian – Annenberg Institute for School Reform at Brown University, 2024
We examine the relationship between absenteeism and achievement since the onset of COVID-19. Applying first-differences models to North Carolina administrative data, we estimate that each absence was associated with a 0.0032 standard deviation (SD) decline in math achievement in 2022-23. As students averaged 3.3 more absences in 2022-23 than…
Descriptors: Correlation, Academic Achievement, COVID-19, Pandemics
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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
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Gershenson, Seth; Hayes, Michael S. – Educational Policy, 2018
School districts across the United States increasingly use value-added models (VAMs) to evaluate teachers. In practice, VAMs typically rely on lagged test scores from the previous academic year, which necessarily conflate summer with school-year learning and potentially bias estimates of teacher effectiveness. We investigate the practical…
Descriptors: Value Added Models, Teacher Effectiveness, Scores, Comparative Analysis
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Hewitt, Kimberly Kappler – AERA Online Paper Repository, 2017
The Every Student Succeeds Act prohibits the federal government from requiring the use of student achievement data for teacher accountability purposes. As states grapple with what to do about teacher accountability, it is critical to examine policy influences on a) the equitable distribution of effective teachers; and b) how teacher accountability…
Descriptors: Accountability, Teacher Evaluation, Equal Education, Data Use
Goldschmidt, Pete; Hakuta, Kenji – Council of Chief State School Officers, 2017
The Every Student Succeeds Act (ESSA) proposes changes in how states include the nation's growing population of English Learners (ELs) into the accountability system. The purpose of this paper is to identify key issues and questions that might be considered and explored by state decision makers in this area. Our primary audience is anyone in a…
Descriptors: English Language Learners, Accountability, Educational Legislation, Federal Legislation
Hutchins, Shaun D.; DeBaylo, Paige Hartman; Williams, Holly – Online Submission, 2018
This report presents a question-driven exploration of growth and achievement data using SAS EVAAS reports. The purpose of this exploration was to bring additional data, information, and ways of thinking about student growth to ongoing district conversations about the measurement of campus-level student growth.
Descriptors: School Districts, Achievement Gains, Achievement Tests, High Schools
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Roohr, Katrina Crotts; Liu, Huili; Liu, Ou Lydia – Studies in Higher Education, 2017
This study examines learning gains of college students' performance in critical thinking, reading, writing, and mathematics as assessed by the ETS Proficiency Profile (EPP). In this study, students' college learning gain was estimated by calculating the score differences between their first and last test administrations. Results revealed that (a)…
Descriptors: Longitudinal Studies, College Students, Achievement Gains, Critical Thinking
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Holmes, N. G.; Olsen, Jack; Thomas, James L.; Wieman, Carl E. – Physical Review Physics Education Research, 2017
Instructional labs are widely seen as a unique, albeit expensive, way to teach scientific content. We measured the effectiveness of introductory lab courses at achieving this educational goal across nine different lab courses at three very different institutions. These institutions and courses encompassed a broad range of student populations and…
Descriptors: Value Added Models, Science Laboratories, Curriculum Enrichment, Introductory Courses
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Gulosino, Charisse – Education Policy Analysis Archives, 2018
Evaluations of teacher preparation programs (TPPs) based in part on the performance of program completers have emerged as an education reform strategy in several states and have become central features of the Race to the Top (RTTT) grant competition. The objective of this policy review is to examine how the state of Tennessee measured and reported…
Descriptors: Value Added Models, Preservice Teacher Education, Teacher Education Programs, Program Evaluation
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Shifrer, Dara; Turley, Ruth López; Heard, Holly – American Educational Research Journal, 2017
Teacher performance pay programs are theorized to improve student achievement by incentivizing teachers, but opponents counter that teachers are not motivated by money. We used regression discontinuity techniques and data on a census of the students, teachers, and schools in a large urban minority-majority school district to show receipt of a…
Descriptors: Academic Achievement, Regression (Statistics), Disadvantaged, Incentives
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