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| Multiple Choice Tests | 3 |
| Probability | 3 |
| Computer Simulation | 1 |
| Cutting Scores | 1 |
| Error of Measurement | 1 |
| Evaluators | 1 |
| Generalizability Theory | 1 |
| Guessing (Tests) | 1 |
| Higher Education | 1 |
| Intelligence Quotient | 1 |
| Interrater Reliability | 1 |
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| Educational and Psychological… | 3 |
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| Journal Articles | 3 |
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Peer reviewedZimmerman, Donald W. – Educational and Psychological Measurement, 1985
A computer program simulated guessing on multiple-choice test items and calculated deviation IQ's from observed scores which contained a guessing component. Extensive variability in deviation IQ's due entirely to chance was found. (Author/LMO)
Descriptors: Computer Simulation, Error of Measurement, Guessing (Tests), Intelligence Quotient
Peer reviewedWilcox, Rand R. – Educational and Psychological Measurement, 1981
A formal framework is presented for determining which of the distractors of multiple-choice test items has a small probability of being chosen by a typical examinee. The framework is based on a procedure similar to an indifference zone formulation of a ranking and election problem. (Author/BW)
Descriptors: Mathematical Models, Multiple Choice Tests, Probability, Test Items
Peer reviewedFehrmann, Melinda L.; And Others – Educational and Psychological Measurement, 1991
Two frame-of-reference rater training approaches were compared for effects on reliability and accuracy of cutoff scores generated by 21 raters using Angoff methods on tests taken by 155 undergraduates. Both approaches result in higher interrater reliability and more accuracy than does a non-frame-of-reference method. (SLD)
Descriptors: Cutting Scores, Evaluators, Generalizability Theory, Higher Education
