Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Computer Assisted Testing | 2 |
| Item Response Theory | 2 |
| Models | 2 |
| Sampling | 2 |
| Accuracy | 1 |
| Adaptive Testing | 1 |
| Classification | 1 |
| Cluster Grouping | 1 |
| Computation | 1 |
| Computer Assisted Design | 1 |
| Computer Simulation | 1 |
| More ▼ | |
Source
| Journal of Applied Testing… | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Evaluative | 1 |
| Reports - Research | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Higher Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| National Assessment of… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkRudner, Lawrence M.; Guo, Fanmin – Journal of Applied Testing Technology, 2011
This study investigates measurement decision theory (MDT) as an underlying model for computer adaptive testing when the goal is to classify examinees into one of a finite number of groups. The first analysis compares MDT with a popular item response theory model and finds little difference in terms of the percentage of correct classifications. The…
Descriptors: Adaptive Testing, Instructional Systems, Item Response Theory, Computer Assisted Testing
Download full textAllen, Nancy L.; Donoghue, John R. – 1995
This Monte Carlo study examined the effect of complex sampling of items on the measurement of differential item functioning (DIF) using the Mantel-Haenszel procedure. Data were generated using a three-parameter logistic item response theory model according to the balanced incomplete block (BIB) design used in the National Assessment of Educational…
Descriptors: Computer Assisted Testing, Difficulty Level, Elementary Secondary Education, Identification
