Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Algorithms | 5 |
| Models | 5 |
| Selection | 5 |
| Computer Assisted Testing | 3 |
| Test Items | 3 |
| Ability | 2 |
| Adaptive Testing | 2 |
| Decision Making | 2 |
| Foreign Countries | 2 |
| Item Banks | 2 |
| Item Response Theory | 2 |
| More ▼ | |
Author
| Berger, Martijn P. F. | 2 |
| Makram Soui | 1 |
| Mourad Abed | 1 |
| Nesrine Mansouri | 1 |
| Schnipke, Deborah L. | 1 |
| Scrams, David J. | 1 |
| Veerkamp, Wim J. J. | 1 |
| van der Linden, Wim J. | 1 |
| van der Linden, Wim J., Ed. | 1 |
Publication Type
| Reports - Research | 3 |
| Journal Articles | 2 |
| Reports - Evaluative | 2 |
| Opinion Papers | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Direct linkNesrine Mansouri; Mourad Abed; Makram Soui – Education and Information Technologies, 2024
Selecting undergraduate majors or specializations is a crucial decision for students since it considerably impacts their educational and career paths. Moreover, their decisions should match their academic background, interests, and goals to pursue their passions and discover various career paths with motivation. However, such a decision remains…
Descriptors: Undergraduate Students, Decision Making, Majors (Students), Specialization
Peer reviewedBerger, Martijn P. F. – Journal of Educational Statistics, 1994
Problems in selection of optimal designs in item-response theory (IRT) models are resolved through a sequential design procedure that is a modification of the D-optimality procedure proposed by Wynn (1970). This algorithm leads to consistent estimates, and the errors in selecting the abilities generally do not greatly affect optimality. (SLD)
Descriptors: Ability, Algorithms, Estimation (Mathematics), Item Response Theory
Download full textvan der Linden, Wim J.; Scrams, David J.; Schnipke, Deborah L. – 1998
An item-selection algorithm to neutralize the differential effects of time limits on scores on computerized adaptive tests is proposed. The method is based on a statistical model for the response-time distributions of the examinees on items in the pool that is updated each time a new item has been administered. Predictions from the model are used…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Foreign Countries
Veerkamp, Wim J. J.; Berger, Martijn P. F. – 1994
Items with the highest discrimination parameter values in a logistic item response theory (IRT) model do not necessarily give maximum information. This paper shows which discrimination parameter values (as a function of the guessing parameter and the distance between person ability and item difficulty) give maximum information for the…
Descriptors: Ability, Adaptive Testing, Algorithms, Computer Assisted Testing
van der Linden, Wim J., Ed. – 1987
Four discussions of test construction based on item response theory (IRT) are presented. The first discussion, "Test Design as Model Building in Mathematical Programming" (T. J. J. M. Theunissen), presents test design as a decision process under certainty. A natural way of modeling this process leads to mathematical programming. General…
Descriptors: Algorithms, Computer Assisted Testing, Decision Making, Foreign Countries
