"Diagnostic classification models" (DCM) are frequently promoted by psychometricians as important modelling alternatives for analyzing response data in situations where multivariate classifications of respondents are made on the basis of multiple postulated latent skills. In this review paper, a definitional boundary of the space of DCM…

In this article, we emphasize that the Rasch model is not only very useful for psychological test calibration but is also necessary if the number of solved items is to be used as an examinee's score. Simplified proof that the Rasch model implies specific objective parameter comparisons is given. Consequently, a model check per se is possible. For…

Purpose: In 2 experiments, the assumption that continual orienting to tinnitus uses cognitive resources was investigated. It was hypothesized that differences in performance of tinnitus and control groups would manifest during demanding or unfamiliar tasks that required strategic, controlled processing and that reduced performance was not related…

This review employs a conceptual framework that distinguishes methods of detecting measurement bias based on either observed or unobserved conditional invariance models. The primary interest is in group-level measurement bias. Methods for bias detection in both continuous and ordered-categorical measures are reviewed, as are methods for testlets…

The International Language Testing Association has some 250 members in 15 countries. Most are specialists in the testing of second language skills, with a special interest in performance assessment because of the testing of speaking and writing performance that is critical to second language skills assessment. The association believes that certain…