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| Bayesian Statistics | 1 |
| Computer Assisted Instruction | 1 |
| Criteria | 1 |
| Cutting Scores | 1 |
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| Vos, Hans J. | 1 |
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Vos, Hans J. – 1994
A method is proposed for optimizing cutting scores for a selection-placement-mastery problem simultaneously. A simultaneous approach has two advantages over separate optimization. First, test scores used in previous decisions can be used as "prior data" in later decisions, increasing the efficiency of the decisions. Then, more realistic…
Descriptors: Bayesian Statistics, Computer Assisted Instruction, Criteria, Cutting Scores


