Journal article
Item Parameter Estimation for a Continuous Response Model Using an EM Algorithm
Applied psychological measurement, Vol.22(4), pp.333-344
12/01/1998
DOI: 10.1177/014662169802200402
Abstract
An item parameter estimation procedure is cedure was pro-developed using an EM algorithm for Samejima's (1973) continuous item response model. The potential usefulness of this model is examined, including the density function and the practical meaning of the item parameters and statistical properties of the model. The expected a posteriori and maximum likelihood estimates of the person (0) parameters and their associated standard errors are also described. The item parameter estimation pro grammed and evaluated using simulated data. The results show that the estimation procedure performs well in estimating item and 0 parameters. These estimation procedures should permit the application of the continuous response model to many measurement problems.
Details
- Title: Subtitle
- Item Parameter Estimation for a Continuous Response Model Using an EM Algorithm
- Creators
- Tianyou Wang - CT, IncLingjia Zeng - National Board of Medical Examiners
- Resource Type
- Journal article
- Publication Details
- Applied psychological measurement, Vol.22(4), pp.333-344
- DOI
- 10.1177/014662169802200402
- ISSN
- 0146-6216
- eISSN
- 1552-3497
- Language
- English
- Date published
- 12/01/1998
- Academic Unit
- Center for Advanced Studies in Measurement and Assessment
- Record Identifier
- 9984627287202771
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