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ERIC Number: EJ1111276
Record Type: Journal
Publication Date: 2005-Apr
Pages: 43
Abstractor: As Provided
ISSN: EISSN-2330-8516
Estimating Multidimensional Item Response Models with Mixed Structure. Research Report. ETS RR-05-04
Zhang, Jinming
ETS Research Report Series, Apr 2005
This study derived an expectation-maximization (EM) algorithm for estimating the parameters of multidimensional item response models. A genetic algorithm (GA) was developed to be used in the maximization step in each EM cycle. The focus of the EM-GA algorithm developed in this paper was on multidimensional items with "mixed structure." Simulated item response data were generated and then estimated by a computer program based on the EM-GA algorithm. The simulation results demonstrate that the EM-GA algorithm is a very promising approach in estimating multidimensional item response model parameters.
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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
Grant or Contract Numbers: N/A