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| Algorithms | 3 |
| Item Analysis | 3 |
| Latent Trait Theory | 2 |
| Correlation | 1 |
| Estimation (Mathematics) | 1 |
| Factor Analysis | 1 |
| Goodness of Fit | 1 |
| Maximum Likelihood Statistics | 1 |
| Measurement | 1 |
| Statistical Analysis | 1 |
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| Psychometrika | 3 |
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| Journal Articles | 3 |
| Reports - Research | 2 |
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Peer reviewedOlsson, Ulf; And Others – Psychometrika, 1982
The polyserial and point polyserial correlations are discussed as generalizations of the biserial and point biserial correlations. The relationship between the polyserial and point polyserial correlation is derived. Some practical applications of the polyserial correlation are described. (Author/JKS)
Descriptors: Algorithms, Correlation, Item Analysis, Statistical Analysis
Peer reviewedBock, R. Darrell; Aitkin, Murray – Psychometrika, 1981
The practicality of using the EM algorithm for maximum likelihood estimation of item parameters in the marginal distribution is presented. The EM procedure is shown to apply to general item-response models. (Author/JKS)
Descriptors: Algorithms, Factor Analysis, Goodness of Fit, Item Analysis
Peer reviewedThissen, David – Psychometrika, 1982
Two algorithms for marginal maximum likelihood estimation for the Rasch model are provided. The more efficient of the two algorithms is extended to estimation for the linear logistic model. Numerical examples of both procedures are presented. (Author/JKS)
Descriptors: Algorithms, Estimation (Mathematics), Item Analysis, Latent Trait Theory
