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ERIC Number: ED505577
Record Type: Non-Journal
Publication Date: 2009-Mar
Pages: 26
Abstractor: As Provided
Reference Count: 21
ISBN: N/A
ISSN: N/A
Stochastic Approximation Methods for Latent Regression Item Response Models. Research Report. ETS RR-09-09
von Davier, Matthias; Sinharay, Sandip
Educational Testing Service
This paper presents an application of a stochastic approximation EM-algorithm using a Metropolis-Hastings sampler to estimate the parameters of an item response latent regression model. Latent regression models are extensions of item response theory (IRT) to a 2-level latent variable model in which covariates serve as predictors of the conditional distribution of ability. Applications for estimating latent regression models for data from the 2000 National Assessment of Educational Progress (NAEP) grade 4 math assessment and the 2002 grade 8 reading assessment are presented and results of the proposed method are compared to results obtained using current operational procedures. (Contains 3 tables and 4 figures.)
Educational Testing Service. Rosedale Road Mailstop 19R, Princeton, NJ 08541-0001. Tel: 609-921-9000; Fax: 609-734-5410; Web site: http://www.ets.org
Publication Type: Reports - Research
Education Level: Grade 4; Grade 8
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: Educational Testing Service