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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
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
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
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