Key points are not available for this paper at this time.
The problem of estimating item parameters from a two-parameter normal ogive model is considered. Gibbs sampling (Gelfand these density estimates can be used to judge the accuracy of normal approximations based on maximum likelihood estimates. This simulation technique is illustrated using data from a mathematics placement exam.
James H. Albert (Tue,) studied this question.