Publication Date
| In 2025 | 0 |
| Since 2024 | 1 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Accuracy | 1 |
| Adaptive Testing | 1 |
| At Risk Students | 1 |
| Computer Assisted Testing | 1 |
| Data Collection | 1 |
| Grade 4 | 1 |
| Grade 6 | 1 |
| Grade 8 | 1 |
| Growth Models | 1 |
| Longitudinal Studies | 1 |
| Mathematics Achievement | 1 |
| More ▼ | |
Source
| Journal of Education for… | 1 |
Author
| Emily R. Forcht | 1 |
| Ethan R. Van Norman | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Elementary Education | 1 |
| Grade 4 | 1 |
| Grade 6 | 1 |
| Grade 8 | 1 |
| Intermediate Grades | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkEthan 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
