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Wu, Mike; Davis, Richard L.; Domingue, Benjamin W.; Piech, Chris; Goodman, Noah – International Educational Data Mining Society, 2020
Item Response Theory (IRT) is a ubiquitous model for understanding humans based on their responses to questions, used in fields as diverse as education, medicine and psychology. Large modern datasets offer opportunities to capture more nuances in human behavior, potentially improving test scoring and better informing public policy. Yet larger…
Descriptors: Item Response Theory, Accuracy, Data Analysis, Public Policy
Hill, Kathryn; McNamara, Tim – Measurement: Interdisciplinary Research and Perspectives, 2015
Those who work in second- and foreign-language testing often find Koretz's concern for validity inferences under high-stakes (VIHS) conditions both welcome and familiar. While the focus of the article is more narrowly on the potential for two instructional responses to test-based accountability, "reallocation" and "coaching,"…
Descriptors: Language Tests, Test Validity, High Stakes Tests, Inferences