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ERIC Number: EJ1111398
Record Type: Journal
Publication Date: 2006-Mar
Pages: 42
Abstractor: As Provided
Reference Count: 22
ISSN: EISSN-2330-8516
Joint and Conditional Estimation for Implicit Models for Tests with Polytomous Item Scores. Research Report. ETS RR-06-03
Haberman, Shelby J.
ETS Research Report Series, Mar 2006
Multinomial-response models are available that correspond implicitly to tests in which a total score is computed as the sum of polytomous item scores. For these models, joint and conditional estimation may be considered in much the same way as for the Rasch model for right-scored tests. As in the Rasch model, joint estimation is only attractive if both the number of items and the number of examinees are large, while conditional estimation can be employed for a large number of examinees whether or not the number of items is large. In neither case is computation difficult given currently available computers. Large-sample results favor use of conditional estimation, although some use of joint estimation can be contemplated if the number of items is large.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A