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- Title
An Importance Sampling EM Algorithm for Latent Regression Models.
- Authors
von Davier, Matthias; Sinharay, Sandip
- Abstract
The article examines a stochastic expectation-maximization method that uses importance sampling to National Assessment of Educational Progress (NAEP) settings. Most large-scale assessments rely on latent regression models. To fit the latent regression model using the maximum likelihood estimation technique, multivariate integrals must be evaluated. In the computer program MGROUP used by the Educational Testing Service for fitting the latent regression model to data from NAEP and other assessments, the integral is computed either by numerical quadrature or approximated.
- Subjects
NATIONAL Assessment of Educational Progress (Project); EDUCATIONAL evaluation; REGRESSION analysis; COMPUTER software; MATHEMATICAL statistics; MULTIVARIATE analysis; FACTOR analysis; STRUCTURAL equation modeling; STATISTICAL correlation
- Publication
Journal of Educational & Behavioral Statistics, 2007, Vol 32, Issue 3, p233
- ISSN
1076-9986
- Publication type
Article
- DOI
10.3102/1076998607300422