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Fully revised for a third edition, this highly regarded guide to the methodology of data collection and synthesis of exam scores explains the process of equalizing, scaling, and moderating results, and how best to design, administer, and mark standard tests.
Generalizability theory offers an extensive conceptual framework and a powerful set of statistical procedures for characterizing and quantifying the fallibility of measurements. The book provides a synthesis of those parts of the statistical literature that are directly applicable to generalizability theory.
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