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…

Practitioners and researchers interested in understanding student achievement, its predictors, and how it relates to other student outcomes are likely unaware of how the source information about achievement may offer subtly different pictures. This study applies multitrait-multimethod (MTMM) confirmatory factor analysis (CFA) within a structural…

Cultural differences between faculty and their students can create important challenges that affect the quality and efficacy of online teaching and learning. The objectives of this study were to: (a) create and pilot test an assessment for online faculty to measure culturally responsive teaching knowledge (CRT) and culturally responsive…

This study assessed trait validity of the Reynolds Intellectual Assessment Scales' (RIAS) Verbal Index (VIX) and Nonverbal Index (NIX) scores in a group of college students. Using both observation of patterns and latent variable modeling of a multitrait-multimethod correlation/covariance matrix, the results indicate that the RIAS VIX scores…