Developing a diagnostic tool within the diagnostic measurement framework is the optimal approach to obtain multidimensional and classification-based feedback on examinees. However, end users may seek to obtain diagnostic feedback from existing item responses to assessments that have been designed under either the classical test theory or item…

An analysis of the skills necessary for performance on the Test of English as a Foreign Language (TOEFL) tends to support the view that there are important, although subtle, secondary dimensions present in the test. This research explored the feasibility of an item response theory (IRT) based method of modeling examinee performance on these…

This study is part of a larger one examining the comparability of the First Certificate in English and the Test of English as a Foreign Language. The general assumption of unidimensionality and goodness-of-fit were tested. Findings raise questions about the consequences of rejecting or retaining misfitting items. (60 references) (LB)

The use of two alternative item response theory (IRT) estimation models in the scaling and equating of the Test of English as a Foreign Language (TOEFL) was explored; and item scaling and test equating results based on these models were compared with results based on the three-parameter (3PL) model currently being used with the TOEFL. Models were…

The assumption called PIRC (proportional item response curve) was tested in which PIRC was used to predict item scores of selected examinees on selected items. Findings show approximate accuracies of prediction for PIRC, the three-parameter logist model, and a modified Rasch model. (12 references) (Author/LB)

This study provided an exploratory investigation of item features that might contribute to a lack of invariance of item parameters for the Test of English as a Foreign Language (TOEFL). Data came from seven forms of the TOEFL administered in 1989. Subjective and quantitative measures developed for the study provided consistent information related…

Probabilistic models with more than one latent variable are designed to report profiles of skills or cognitive attributes. Testing programs want to offer additional information beyond what a single test score can provide using these skill profiles. Many recent approaches to skill profile models are limited to dichotomous data and have made use of…