Descriptor
| Algorithms | 2 |
| Selection | 2 |
| Test Construction | 2 |
| Test Items | 2 |
| Adaptive Testing | 1 |
| Computer Assisted Testing | 1 |
| Equations (Mathematics) | 1 |
| Expert Systems | 1 |
| Heuristics | 1 |
| Item Response Theory | 1 |
| Mathematical Models | 1 |
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| Applied Psychological… | 2 |
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| Stocking, Martha L. | 2 |
| Swanson, Len | 2 |
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| Journal Articles | 2 |
| Reports - Evaluative | 2 |
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Peer reviewedSwanson, Len; Stocking, Martha L. – Applied Psychological Measurement, 1993
A model for solving very large item selection problems is presented. The model builds on binary programming applied to test construction. A heuristic for selecting items that satisfy the constraints in the model is also presented, and various problems are solved using the model and heuristic. (SLD)
Descriptors: Algorithms, Equations (Mathematics), Heuristics, Item Response Theory
Peer reviewedStocking, Martha L.; Swanson, Len – Applied Psychological Measurement, 1993
A method is presented for incorporating a large number of constraints on adaptive item selection in the construction of computerized adaptive tests. The method, which emulates practices of expert test specialists, is illustrated for verbal and quantitative measures. Its foundation is application of a weighted deviations model and algorithm. (SLD)
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Expert Systems
