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| Latent Trait Theory | 2 |
| Mathematical Models | 2 |
| Addition | 1 |
| Algorithms | 1 |
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| Bayesian Statistics | 1 |
| Diagnostic Tests | 1 |
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| Estimation (Mathematics) | 1 |
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Peer reviewedLord, Frederic M. – Journal of Educational Measurement, 1986
Advantages and disadvantages of joint maximum likelihood, marginal maximum likelihood, and Bayesian methods of parameter estimation in item response theory are discussed and compared. (Author)
Descriptors: Bayesian Statistics, Error Patterns, Estimation (Mathematics), Higher Education
Peer reviewedTatsuoka, Kikumi K. – Journal of Educational Measurement, 1983
A newly introduced approach, rule space, can represent large numbers of erroneous rules of arithmetic operations quantitatively and can predict the likelihood of each erroneous rule. The new model challenges the credibility of the traditional right-or-wrong scoring procedure. (Author/PN)
Descriptors: Addition, Algorithms, Arithmetic, Diagnostic Tests


