Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Adaptive Testing | 2 |
| Algorithms | 2 |
| Computer Assisted Testing | 2 |
| Artificial Intelligence | 1 |
| Data | 1 |
| Gamification | 1 |
| Latent Trait Theory | 1 |
| Mathematical Models | 1 |
| Multiple Choice Tests | 1 |
| Occupational Tests | 1 |
| Psychometrics | 1 |
| More ▼ | |
Source
| International Journal of… | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Descriptive | 1 |
| Reports - Research | 1 |
Education Level
Audience
| Researchers | 2 |
| Practitioners | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Liou, Gloria; Bonner, Cavan V.; Tay, Louis – International Journal of Testing, 2022
With the advent of big data and advances in technology, psychological assessments have become increasingly sophisticated and complex. Nevertheless, traditional psychometric issues concerning the validity, reliability, and measurement bias of such assessments remain fundamental in determining whether score inferences of human attributes are…
Descriptors: Psychometrics, Computer Assisted Testing, Adaptive Testing, Data
Urry, Vern W. – 1983
In this report, selection theory is used as a theoretical framework from which mathematical algorithms for tailored testing are derived. The process of tailored, or adaptive, testing is presented as analogous to personnel selection and rejection on a series of continuous variables that are related to ability. Proceeding from a single common-factor…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Latent Trait Theory

Peer reviewed
Direct link
