The purpose of the current investigation was to describe how the artificial neural networks (ANNs) can be used to interpret student performance on cognitive diagnostic assessments (CDAs) and evaluate the performances of ANNs using simulation results. CDAs are designed to measure student performance on problem-solving tasks and provide useful…

Classification consistency and accuracy are viewed as important indicators for evaluating the reliability and validity of classification results in cognitive diagnostic assessment (CDA). Pattern-level classification consistency and accuracy indices were introduced by Cui, Gierl, and Chang. However, the indices at the attribute level have not yet…

Approximately half of students who are deaf or hard of hearing (DHH) have a co-occurring disability. Although assessing as well as diagnosing learning disabilities (LDs) is particularly difficult in this population, it is important to properly identify students who may be eligible for academic interventions or accommodations. This study analyzed…

We investigated whether preschool children with specific language impairment (SLI) exhibit the shape bias in word learning: the bias to generalize based on shape rather than size, color, or texture in an object naming context ("This is a wek; find another wek") but not in a non-naming similarity classification context ("See this?…

Investigated possible priming effect of two neuropsychological tests, the Booklet Category Test (BCT) and Wisconsin Card Sorting Test (WCST). Obtained counterbalanced order effects on like-aged sample of 63 South African elementary school students (normally- achieving, low-functioning, learning-disabled). Found a significant effect of set-shifting…