Abstract
| Original language | Undefined |
|---|---|
| Place of Publication | Enschede, the Netherlands |
| Publisher | University of Twente, Faculty Educational Science and Technology |
| Number of pages | 39 |
| Publication status | Published - 1987 |
Publication series
| Name | OMD research report |
|---|---|
| Publisher | University of Twente, Faculty of Educational Science and Technology |
| No. | 87-6 |
Keywords
- Latent Trait Theory
- Literature Reviews
- Maximum Likelihood Statistics
- Estimation (Mathematics)
- Comparative Analysis
- Chi Square
- Mathematical Models
- Bayesian Statistics
- IR-104194
Cite this
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A review of different estimation procedures in the Rasch model. / Engelen, R.J.H.
Enschede, the Netherlands : University of Twente, Faculty Educational Science and Technology, 1987. 39 p. (OMD research report; No. 87-6).Research output: Book/Report › Report › Other research output
TY - BOOK
T1 - A review of different estimation procedures in the Rasch model
AU - Engelen, R.J.H.
N1 - Project Psychometric Aspects of Item Banking No. 21
PY - 1987
Y1 - 1987
N2 - A short review of the different estimation procedures that have been used in association with the Rasch model is provided. These procedures include joint, conditional, and marginal maximum likelihood methods; Bayesian methods; minimum chi-square methods; and paired comparison estimation. A comparison of the marginal maximum likelihood estimation with all other estimation procedures is then provided. Marginal maximum likelihood estimation is defended as the best procedure, but serious numerical problems exist even when applying this method. These problems are especially evident for distribution-free marginal maximum likelihood estimation.
AB - A short review of the different estimation procedures that have been used in association with the Rasch model is provided. These procedures include joint, conditional, and marginal maximum likelihood methods; Bayesian methods; minimum chi-square methods; and paired comparison estimation. A comparison of the marginal maximum likelihood estimation with all other estimation procedures is then provided. Marginal maximum likelihood estimation is defended as the best procedure, but serious numerical problems exist even when applying this method. These problems are especially evident for distribution-free marginal maximum likelihood estimation.
KW - Latent Trait Theory
KW - Literature Reviews
KW - Maximum Likelihood Statistics
KW - Estimation (Mathematics)
KW - Comparative Analysis
KW - Chi Square
KW - Mathematical Models
KW - Bayesian Statistics
KW - IR-104194
M3 - Report
T3 - OMD research report
BT - A review of different estimation procedures in the Rasch model
PB - University of Twente, Faculty Educational Science and Technology
CY - Enschede, the Netherlands
ER -