Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Achievement Tests | 3 |
| Adaptive Testing | 3 |
| Classification | 3 |
| Computer Assisted Testing | 3 |
| Elementary School Students | 2 |
| Grade 3 | 2 |
| Grade 4 | 2 |
| Grade 5 | 2 |
| Measurement | 2 |
| Predictive Validity | 2 |
| Academic Achievement | 1 |
| More ▼ | |
Author
| Benjamin G. Solomon | 1 |
| Castañeda, Juan Javier | 1 |
| Frick, Theodore W. | 1 |
| Jones, John H. | 1 |
| Kayla V. Campaña | 1 |
| Keller-Margulis, Milena | 1 |
| McQuillin, Samuel D. | 1 |
| Ochs, Sarah | 1 |
Publication Type
| Reports - Research | 3 |
| Journal Articles | 2 |
| Speeches/Meeting Papers | 1 |
Education Level
| Grade 3 | 2 |
| Early Childhood Education | 1 |
| Elementary Education | 1 |
| Grade 4 | 1 |
| Grade 5 | 1 |
| Intermediate Grades | 1 |
| Middle Schools | 1 |
| Primary Education | 1 |
Audience
| Researchers | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Kayla V. Campaña; Benjamin G. Solomon – Assessment for Effective Intervention, 2025
The purpose of this study was to compare the classification accuracy of data produced by the previous year's end-of-year New York state assessment, a computer-adaptive diagnostic assessment ("i-Ready"), and the gating combination of both assessments to predict the rate of students passing the following year's end-of-year state assessment…
Descriptors: Accuracy, Classification, Diagnostic Tests, Adaptive Testing
Keller-Margulis, Milena; McQuillin, Samuel D.; Castañeda, Juan Javier; Ochs, Sarah; Jones, John H. – Journal of Applied School Psychology, 2018
Multitiered systems of support depend on screening technology to identify students at risk. The purpose of this study was to examine the use of a computer-adaptive test and latent class growth analysis (LCGA) to identify students at risk in reading with focus on the use of this methodology to characterize student performance in screening.…
Descriptors: At Risk Students, Multivariate Analysis, Adaptive Testing, Computer Assisted Testing
Frick, Theodore W. – 1986
The sequential probability ratio test (SPRT), developed by Abraham Wald, is one statistical model available for making mastery decisions during computer-based criterion referenced tests. The predictive validity of the SPRT was empirically investigated with two different and relatively large item pools with heterogeneous item parameters. Graduate…
Descriptors: Achievement Tests, Adaptive Testing, Classification, Comparative Analysis

Peer reviewed
Direct link
