Publication Date
| In 2025 | 1 |
| Since 2024 | 1 |
| Since 2021 (last 5 years) | 3 |
Descriptor
| Adaptive Testing | 3 |
| Computer Assisted Testing | 3 |
| Correlation | 3 |
| Sample Size | 2 |
| Simulation | 2 |
| Test Items | 2 |
| Cognitive Ability | 1 |
| Comparative Analysis | 1 |
| Computation | 1 |
| Design | 1 |
| Difficulty Level | 1 |
| More ▼ | |
Author
| Akira Di Sandro | 1 |
| Alesandra Gorgone | 1 |
| Chen, Ping | 1 |
| Daniel H. Wolf | 1 |
| Eirini Zoupou | 1 |
| Huang, Yingshi | 1 |
| J. Cobb Scott | 1 |
| Jack C. Lennon | 1 |
| Joseph W. Kable | 1 |
| Katherine C. Lopez | 1 |
| Kosha Ruparel | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkTyler M. Moore; Katherine C. Lopez; J. Cobb Scott; Jack C. Lennon; Akira Di Sandro; Eirini Zoupou; Alesandra Gorgone; Monica E. Calkins; Daniel H. Wolf; Joseph W. Kable; Kosha Ruparel; Raquel E. Gur; Ruben C. Gur – Journal of Psychoeducational Assessment, 2025
The Penn Computerized Neurocognitive Battery (CNB) is a collection of tests validated using neuroimaging, genetics, and other criteria. An updated version of the CNB was constructed in which all tests were converted to either computerized adaptive (CAT) or abbreviated forms. In a mixed community/clinical sample (N = 307; mean age = 25.9 years;…
Descriptors: Computer Assisted Testing, Cognitive Ability, Genetics, Adaptive Testing
Yuan, Lu; Huang, Yingshi; Li, Shuhang; Chen, Ping – Journal of Educational Measurement, 2023
Online calibration is a key technology for item calibration in computerized adaptive testing (CAT) and has been widely used in various forms of CAT, including unidimensional CAT, multidimensional CAT (MCAT), CAT with polytomously scored items, and cognitive diagnostic CAT. However, as multidimensional and polytomous assessment data become more…
Descriptors: Computer Assisted Testing, Adaptive Testing, Computation, Test Items
Kárász, Judit T.; Széll, Krisztián; Takács, Szabolcs – Quality Assurance in Education: An International Perspective, 2023
Purpose: Based on the general formula, which depends on the length and difficulty of the test, the number of respondents and the number of ability levels, this study aims to provide a closed formula for the adaptive tests with medium difficulty (probability of solution is p = 1/2) to determine the accuracy of the parameters for each item and in…
Descriptors: Test Length, Probability, Comparative Analysis, Difficulty Level
