Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Accuracy | 3 |
| Computation | 3 |
| Growth Models | 3 |
| Scores | 3 |
| Achievement Gains | 2 |
| COVID-19 | 2 |
| Pandemics | 2 |
| Academic Achievement | 1 |
| Classification | 1 |
| Correlation | 1 |
| Elementary School Students | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 3 |
| Journal Articles | 2 |
Education Level
| Elementary Education | 2 |
| Middle Schools | 2 |
| Early Childhood Education | 1 |
| Elementary Secondary Education | 1 |
| Grade 3 | 1 |
| Grade 4 | 1 |
| Grade 5 | 1 |
| Grade 6 | 1 |
| Intermediate Grades | 1 |
| Junior High Schools | 1 |
| Primary Education | 1 |
| More ▼ | |
Audience
Location
| Missouri | 2 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Fazlul, Ishtiaque; Koedel, Cory; Parsons, Eric; Qian, Cheng – AERA Open, 2021
We evaluate the feasibility of estimating test-score growth for schools and districts with a gap year in test data. Our research design uses a simulated gap year in testing when a true test gap did not occur, which facilitates comparisons of district- and school-level growth estimates with and without a gap year. We find that growth estimates…
Descriptors: Scores, Achievement Gains, Computation, School Districts
Wells, Craig S.; Sireci, Stephen G. – Applied Measurement in Education, 2020
Student growth percentiles (SGPs) are currently used by several states and school districts to provide information about individual students as well as to evaluate teachers, schools, and school districts. For SGPs to be defensible for these purposes, they should be reliable. In this study, we examine the amount of systematic and random error in…
Descriptors: Growth Models, Reliability, Scores, Error Patterns
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

Peer reviewed
Direct link
