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…

The expected reliability of a multiple choice test is maximized by the use of three alternative items. (Author)

Reviews the 1974 Standards, an updating serving as a guide to test making and publishing, and training of persons for these endeavors. (DEP)

Investigates the reliability and validity of scores yielded from a new scoring formula. (Author/DEP)

Effects of logically weighting incorrect item options in conventional tests and different scoring functions with confidence tests on reliability and validity were examined. Ninth graders took conventionally administered Verbal and Mathematical Reasoning tests, scored conventionally and by a procedure assigning degree-of-correctness weights to…

A comparison of reliability and validity was made for three testing procedures: 1) responding conventionally to Verbal Ability and Mathematical Reasoning tests; 2) using a confidence weighting response procedure with the same tests; and 3) using the elimination response method. The experimental testing procedures were not psychometrically superior…