Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Academic Achievement | 1 |
| Adaptive Testing | 1 |
| Computer Assisted Testing | 1 |
| Elementary School Students | 1 |
| Grade 3 | 1 |
| Grade 4 | 1 |
| Grade 5 | 1 |
| Grade 6 | 1 |
| Grade Prediction | 1 |
| Mathematics Tests | 1 |
| Reading Tests | 1 |
| More ▼ | |
Source
| Assessment for Effective… | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Early Childhood Education | 1 |
| Elementary Education | 1 |
| Grade 3 | 1 |
| Grade 4 | 1 |
| Grade 5 | 1 |
| Grade 6 | 1 |
| Intermediate Grades | 1 |
| Middle Schools | 1 |
| Primary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkVan Norman, Ethan R.; Forcht, Emily R. – Assessment for Effective Intervention, 2023
This study explored the validity of growth on two computer adaptive tests, Star Reading and Star Math, in explaining performance on an end-of-year achievement test for a sample of students in Grades 3 through 6. Results from quantile regression analyses indicate that growth on Star Reading explained a statistically significant amount of variance…
Descriptors: Test Validity, Computer Assisted Testing, Adaptive Testing, Grade Prediction
