NotesFAQContact Us
Collection
Advanced
Search Tips
Peer reviewed Peer reviewed
PDF on ERIC Download full text
ERIC Number: EJ1111276
Record Type: Journal
Publication Date: 2005-Apr
Pages: 43
Abstractor: As Provided
Reference Count: 25
ISBN: N/A
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.
Educational Testing Service. Rosedale Road, MS19-R Princeton, NJ 08541. Tel: 609-921-9000; Fax: 609-734-5410; e-mail: RDweb@ets.org; Web site: https://www.ets.org/research/policy_research_reports/ets
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A