Scoring high-dimensional assessments (e.g., > 15 traits) can be a challenging task. This paper introduces the multilabel neural network (MNN) as a scoring method for high-dimensional assessments. Additionally, it demonstrates how MNN can score the same test responses to maximize different performance metrics, such as accuracy, recall, or…

We explored the perceptual structure of facial expressions of six basic emotions, varying systematically in intensity, in adults and children aged 7 and 14 years. Multidimensional scaling suggested that three- or four-dimensional structures were optimal for all groups. Two groups of adults demonstrated nearly identical structure, which had…

This study investigates four widely used methods of collecting direct similarity judgments for nonmetric multidimensional scaling: rating scale, triads, rank order of pairs, and conditional rank order. (Author/PN)

Four multidimensional data configurations and one unidimensional data configuration were simulated for three differences in mean difficulty between two tests to be equated. Two chi-square statistics, Q1 and Q2, were examined for their ability to detect multidimensionality. Results indicated that Q1 did not discriminate between any of the…

This study investigated (1) relationships between reading comprehension, IQ, and equivalence range (ER) and (2) categorizing styles through multidimensional scaling and varimax rotation analysis. One hundred and six male and 97 female sixth-graders comprised three reading groups according to Metropolitan Achievement Test, Reading subtest, and Otis…

The aim of this study is to suggest an alternative to the essay testing method of assessing structural understanding of concepts, which suffers from time constraints and lack of scoring reliability. In this method, students' relationship judgments between concept pairs are examined directly rather than by means of multidimensional scaling analysis…