This study proposes a Bayesian method for diagnostic classification models (DCMs) for a partially known Q-matrix setting between exploratory and confirmatory DCMs. This Q-matrix setting is practical and useful because test experts have pre-knowledge of the Q-matrix but cannot readily specify it completely. The proposed method employs priors for…

Both testlet design and hierarchical latent traits are fairly common in educational and psychological measurements. This study aimed to develop a new class of higher order testlet response models that consider both local item dependence within testlets and a hierarchy of latent traits. Due to high dimensionality, the authors adopted the Bayesian…

Evaluated the effectiveness of the MASTERY model in teaching skills to graduate students (N=31) in the administration of the Wechsler Adult Intelligence Scale-Revised (WAIS-R). Results demonstrated that the MASTERY algorithm can be utilized as an effective means of assessing and training clinicians to pre-established competency standards of WAIS-R…