Descriptor
| Bayesian Statistics | 1 |
| Comparative Testing | 1 |
| Computation | 1 |
| Difficulty Level | 1 |
| Equated Scores | 1 |
| Error of Measurement | 1 |
| Item Response Theory | 1 |
| Mathematical Applications | 1 |
| Maximum Likelihood Statistics | 1 |
| Simulation | 1 |
| Test Items | 1 |
| More ▼ | |
Source
| Journal of Educational… | 1 |
Author
| Li, Yuan H. | 1 |
| Lissitz, Robert W. | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkLi, Yuan H.; Lissitz, Robert W. – Journal of Educational Measurement, 2004
The analytically derived asymptotic standard errors (SEs) of maximum likelihood (ML) item estimates can be approximated by a mathematical function without examinees' responses to test items, and the empirically determined SEs of marginal maximum likelihood estimation (MMLE)/Bayesian item estimates can be obtained when the same set of items is…
Descriptors: Test Items, Computation, Item Response Theory, Error of Measurement
