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Direct linkShun-Fu Hu; Amery D. Wu; Jake Stone – Journal of Educational Measurement, 2025
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…
Descriptors: Tests, Testing, Scores, Test Construction
Salehi, Mohammad – Language Testing in Asia, 2012
Three approaches of validation enquiry were applied on the data obtained from a proficiency test carried out with 3,398 PhD candidates as a partial requirement for entering PhD program in Iran. The data obtained from the reading section were subjected to an exploratory factor analysis (EFA). The EFA yielded nine factors in the reading section.…
Descriptors: Construct Validity, Test Validity, College Entrance Examinations, Doctoral Programs
Beaujean, A. Alexander; Firmin, Michael W.; Michonski, Jared D.; Berry, Theodore; Johnson, Courtney – Assessment, 2010
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…
Descriptors: Multitrait Multimethod Techniques, College Students, Intelligence Tests, Test Validity
