Descriptor
| Adaptive Testing | 6 |
| Algorithms | 6 |
| Comparative Analysis | 6 |
| Computer Assisted Testing | 4 |
| Estimation (Mathematics) | 3 |
| Test Construction | 3 |
| Test Items | 3 |
| Ability | 2 |
| Higher Education | 2 |
| Item Response Theory | 2 |
| Maximum Likelihood Statistics | 2 |
| More ▼ | |
Source
| Journal of Educational… | 1 |
Author
| Schnipke, Deborah L. | 2 |
| Bergstrom, Betty A. | 1 |
| Chang, Shun-Wen | 1 |
| Gershon, Richard | 1 |
| Green, Bert F. | 1 |
| Reese, Lynda M. | 1 |
| Shermis, Mark D. | 1 |
| Twu, Bor-Yaun | 1 |
| Vale, C. David | 1 |
| Weiss, David J. | 1 |
Publication Type
| Speeches/Meeting Papers | 4 |
| Reports - Evaluative | 3 |
| Reports - Research | 3 |
| Journal Articles | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedSchnipke, Deborah L.; Green, Bert F. – Journal of Educational Measurement, 1995
Two item selection algorithms, one based on maximal differentiation between examinees and one based on item response theory and maximum information for each examinee, were compared in simulated linear and adaptive tests of cognitive ability. Adaptive tests based on maximum information were clearly superior. (SLD)
Descriptors: Adaptive Testing, Algorithms, Comparative Analysis, Item Response Theory
Download full textChang, Shun-Wen; Twu, Bor-Yaun – 1998
This study investigated and compared the properties of five methods of item exposure control within the purview of estimating examinees' abilities in a computerized adaptive testing (CAT) context. Each of the exposure control algorithms was incorporated into the item selection procedure and the adaptive testing progressed based on the CAT design…
Descriptors: Adaptive Testing, Algorithms, Comparative Analysis, Computer Assisted Testing
Schnipke, Deborah L.; Reese, Lynda M. – 1997
Two-stage and multistage test designs provide a way of roughly adapting item difficulty to test-taker ability. All test takers take a parallel stage-one test, and, based on their scores, they are routed to tests of different difficulty levels in subsequent stages. These designs provide some of the benefits of standard computerized adaptive testing…
Descriptors: Ability, Adaptive Testing, Algorithms, Comparative Analysis
Bergstrom, Betty A.; Gershon, Richard – 1992
The most useful method of item selection for making pass-fail decisions with a Computerized Adaptive Test (CAT) was studied. Medical technology students (n=86) took a computer adaptive test in which items were targeted to the ability of the examinee. The adaptive algorithm that selected items and estimated person measures used the Rasch model and…
Descriptors: Adaptive Testing, Algorithms, Comparative Analysis, Computer Assisted Testing
Shermis, Mark D.; And Others – 1992
The reliability of four branching algorithms commonly used in computer adaptive testing (CAT) was examined. These algorithms were: (1) maximum likelihood (MLE); (2) Bayesian; (3) modal Bayesian; and (4) crossover. Sixty-eight undergraduate college students were randomly assigned to one of the four conditions using the HyperCard-based CAT program,…
Descriptors: Adaptive Testing, Algorithms, Bayesian Statistics, Comparative Analysis
PDF pending restorationVale, C. David; Weiss, David J. – 1977
Twenty multiple-choice vocabulary items and 20 free-response vocabulary items were administered to 660 college students. The free-response items consisted of the stem words of the multiple-choice items. Testees were asked to respond to the free-response items with synonyms. A computer algorithm was developed to transform the numerous…
Descriptors: Ability, Adaptive Testing, Algorithms, Aptitude Tests
