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…

In validating uses of testing, it is helpful to distinguish those that rely directly on the information provided by scores or score distributions ("direct" uses and consequences) versus those that instead capitalize on the motivational effects of testing, or use testing and test reporting to shape public opinion ("indirect" uses and consequences).…

Kane (this issue) presents a comprehensive review of validity theory and reminds us that the focus of validation is on test score interpretations and use. In reacting to his article, I support the argument-based approach to validity and all of the major points regarding validation made by Dr. Kane. In addition, I call for a simpler, three-step…

Four considerations that enhance the instructional importance of tests are content match, use of feedback, a flagging function, and the increasing tendency to attach sanctions and rewards to standardized test results. These sanctions are apt to force greater attention to the other three characteristics, strengthening the links between instruction…

The implications that cognitive approaches to the study of reading can have for the assessment of reading achievement are discussed. Research in word decoding, semantic access, sentence processing, and discourse analysis is summarized with emphasis on processing efficiency required in one area affecting performance in another area. (Author/CM)