Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Adaptive Testing | 2 |
| Computer Assisted Testing | 2 |
| Grade 6 | 2 |
| Grade 8 | 2 |
| Growth Models | 2 |
| Accuracy | 1 |
| Achievement Tests | 1 |
| At Risk Students | 1 |
| Data Collection | 1 |
| Grade 4 | 1 |
| Grade 7 | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Elementary Education | 2 |
| Grade 6 | 2 |
| Grade 8 | 2 |
| Intermediate Grades | 2 |
| Junior High Schools | 2 |
| Middle Schools | 2 |
| Secondary Education | 2 |
| Grade 4 | 1 |
| Grade 7 | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| Measures of Academic Progress | 1 |
What Works Clearinghouse Rating
Boorse, Jaclin; Van Norman, Ethan R. – Psychology in the Schools, 2021
Prior research on the Measures of Academic Progress (MAP), a computer-adaptive test distributed by the Northwest Evaluation Association, has primarily focused on the Reading MAP for screening/benchmarking in elementary grades. The purpose of this study was to explore the functional form of growth and the extent to which student variability in…
Descriptors: Achievement Tests, Mathematics Tests, Adaptive Testing, Computer Assisted Testing
Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables

Peer reviewed
Direct link
