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| Estimation (Mathematics) | 1 |
| Item Response Theory | 1 |
| Markov Processes | 1 |
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| Kim, Seock-Ho | 1 |
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Download full textKim, Seock-Ho – 1998
The accuracy of the Markov chain Monte Carlo procedure, Gibbs sampling, was considered for estimation of item and ability parameters of the one-parameter logistic model. Four data sets were analyzed to evaluate the Gibbs sampling procedure. Data sets were also analyzed using methods of conditional maximum likelihood, marginal maximum likelihood,…
Descriptors: Ability, Estimation (Mathematics), Item Response Theory, Markov Processes
