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Draney, Karen; Wilson, Mark – Journal of Applied Measurement, 2011
In this paper, we describe a new method we have developed for setting cut scores between levels of a test. We outline the wide variety of potential methods that have been used for such a process, and emphasize the need for a coherent conceptual framework under which the variety of methods could be understood. We then describe our particular…
Descriptors: Item Response Theory, Probability, Computer Software, Cutting Scores
Claesgens, Jennifer; Scalise, Kathleen; Wilson, Mark; Stacy, Angelica – Science Education, 2009
Preliminary pilot studies and a field study show how a generalizable conceptual framework calibrated with item response modeling can be used to describe the development of student conceptual understanding in chemistry. ChemQuery is an assessment system that uses a framework of the key ideas in the discipline, called the Perspectives of Chemists,…
Descriptors: Scoring Rubrics, Chemistry, Item Response Theory, Comprehension
Briggs, Derek C.; Wilson, Mark – Journal of Educational Measurement, 2007
An approach called generalizability in item response modeling (GIRM) is introduced in this article. The GIRM approach essentially incorporates the sampling model of generalizability theory (GT) into the scaling model of item response theory (IRT) by making distributional assumptions about the relevant measurement facets. By specifying a random…
Descriptors: Markov Processes, Generalizability Theory, Item Response Theory, Computation

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