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| Estimation (Mathematics) | 2 |
| Matrices | 2 |
| Analysis of Covariance | 1 |
| Correlation | 1 |
| Item Response Theory | 1 |
| Mathematical Models | 1 |
| Test Items | 1 |
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| Journal Articles | 2 |
| Reports - Descriptive | 2 |
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An Eigenvector Method for Estimating Item Parameters of the Dichotomous and Polytomous Rasch Models.
Peer reviewedGarner, Mary; Engelhard, George, Jr. – Journal of Applied Measurement, 2002
Describes a technique for obtaining item parameters of the Rasch model, a technique in which the item parameters are extracted from the eigenvectors of a matrix derived from comparisons between pairs of items. Describes advantages of this technique, which can be applied to both dichotomous and polytomous data. (SLD)
Descriptors: Estimation (Mathematics), Item Response Theory, Matrices, Test Items
Peer reviewedRovine, Michael J.; Molenaar, Peter C. M. – Structural Equation Modeling, 1998
Presents a LISREL model for the estimation of the repeated measures analysis of variance (ANOVA) with a patterned covariance matrix. The model is demonstrated for a 5 x 2 (Time x Group) ANOVA in which the data are assumed to be serially correlated. Similarities with the Statistical Analysis System PROC MIXED model are discussed. (SLD)
Descriptors: Analysis of Covariance, Correlation, Estimation (Mathematics), Mathematical Models
