A MULTI-DIMENSIONAL CONTINUOUS ITEM RESPONSE MODEL FOR PROBABILITY TESTING

Abstract

Probability testing (PT) is a way to respond to multiple-choice test items. In PT the examinee gives to each response option his/her subjective probability of its being correct as an expression of partial knowledge. By using PT more item information can be drawn from the subjects than the other scoring methods that can be used for multiple-choice items. In this research, a multi-dimensional continuous item response model for PT is proposed. Moreover, the matrix of information function, a method of estimating item parameter, a method of estimating the subject’s vector of latent traits are introduced.