Parameter Estimation in Latent Trait Models
- 1 December 1983
- journal article
- Published by Cambridge University Press (CUP) in Psychometrika
- Vol. 48 (4) , 567-574
- https://doi.org/10.1007/bf02293880
Abstract
Latent trait models for binary responses to a set of test items are considered from the point of view of estimating latent trait parameters θ= (θ1, …, θn) and item parameters β=(β1, …, βk), where βj may be vector valued. With θ considered a random sample from a prior distribution with parameter ϕ, the estimation of (θ, β) is studied under the theory of the EM algorithm. An example and computational details are presented for the Rasch model.Keywords
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