Showing papers by "Steven E. Rigdon published in 1983"
TL;DR: Latent trait models for binary responses to a set of test items are considered from the point of view of estimating latent trait parametersθ=(θ1,…,θn) and item parametersβ=(β1, …,βk), whereβj may be vector valued.
Abstract: Latent trait models for binary responses to a set of test items are considered from the point of view of estimating latent trait parametersθ=(θ
1, …,θ
n
) and item parametersβ=(β
1, …,β
k
), whereβ
j
may be vector valued. Withθ considered a random sample from a prior distribution with parameterφ, 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.
73 citations