Abstract
A procedure is presented for locating on the latent trait scale the scores (or responses) of items that follow the three-parameter logistic (3PL) and monotone partial credit (MPC) models. The procedure is based on a Bayesian updating of the item information and is identical to locating the score at the latent trait value that maximizes the Bock score information. Applications are provided in terms of selecting items or score categories for criterion-referenced interpretation and mapping and analyzing score categories.
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