Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Academic Ability | 1 |
| Accuracy | 1 |
| Correlation | 1 |
| Difficulty Level | 1 |
| High Achievement | 1 |
| Individual Differences | 1 |
| Item Analysis | 1 |
| Item Response Theory | 1 |
| Monte Carlo Methods | 1 |
| Selection Criteria | 1 |
| Test Items | 1 |
| More ▼ | |
Source
| Educational Measurement:… | 1 |
Author
| Arikan, Serkan | 1 |
| Aybek, Eren Can | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkArikan, Serkan; Aybek, Eren Can – Educational Measurement: Issues and Practice, 2022
Many scholars compared various item discrimination indices in real or simulated data. Item discrimination indices, such as item-total correlation, item-rest correlation, and IRT item discrimination parameter, provide information about individual differences among all participants. However, there are tests that aim to select a very limited number…
Descriptors: Monte Carlo Methods, Item Analysis, Correlation, Individual Differences
