Descriptor
| Adaptive Testing | 1 |
| Bayesian Statistics | 1 |
| Computer Assisted Testing | 1 |
| Equations (Mathematics) | 1 |
| Item Response Theory | 1 |
| Mathematical Models | 1 |
| Maximum Likelihood Statistics | 1 |
| Scoring | 1 |
| Selection | 1 |
| Simulation | 1 |
| Test Items | 1 |
| More ▼ | |
Source
| Psychometrika | 1 |
Author
| Segall, Daniel O. | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedSegall, Daniel O. – Psychometrika, 1996
Maximum likelihood and Bayesian procedures are presented for item selection and scoring of multidimensional adaptive tests. A demonstration with simulated response data illustrates that multidimensional adaptive testing can provide equal or higher reliabilities with fewer items than are required in one-dimensional adaptive testing. (SLD)
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Assisted Testing, Equations (Mathematics)
