Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 2 |
| Since 2006 (last 20 years) | 2 |
Descriptor
| Achievement Gains | 2 |
| Growth Models | 2 |
| Scores | 2 |
| Value Added Models | 2 |
| Academic Achievement | 1 |
| Accuracy | 1 |
| COVID-19 | 1 |
| Computation | 1 |
| Educational Policy | 1 |
| Elementary School Students | 1 |
| Language Tests | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 2 |
| Journal Articles | 1 |
Education Level
| Elementary Education | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Download full textFazlul, 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
Peer reviewed
Direct linkPatrick, 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
