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Falk, Carl F.; Cai, Li – Grantee Submission, 2016
We present a logistic function of a monotonic polynomial with a lower asymptote, allowing additional flexibility beyond the three-parameter logistic model. We develop a maximum marginal likelihood based approach to estimate the item parameters. The new item response model is demonstrated on math assessment data from a state, and a computationally…
Descriptors: Item Response Theory, Guessing (Tests), Mathematics Tests, Simulation
Falk, Carl F.; Cai, Li – Journal of Educational Measurement, 2016
We present a logistic function of a monotonic polynomial with a lower asymptote, allowing additional flexibility beyond the three-parameter logistic model. We develop a maximum marginal likelihood-based approach to estimate the item parameters. The new item response model is demonstrated on math assessment data from a state, and a computationally…
Descriptors: Item Response Theory, Guessing (Tests), Mathematics Tests, Simulation
Oliveri, Maria Elena; Lawless, Rene; Robin, Frederic; Bridgeman, Brent – Applied Measurement in Education, 2018
We analyzed a pool of items from an admissions test for differential item functioning (DIF) for groups based on age, socioeconomic status, citizenship, or English language status using Mantel-Haenszel and item response theory. DIF items were systematically examined to identify its possible sources by item type, content, and wording. DIF was…
Descriptors: Test Bias, Comparative Analysis, Item Banks, Item Response Theory
Bergner, Yoav; Droschler, Stefan; Kortemeyer, Gerd; Rayyan, Saif; Seaton, Daniel; Pritchard, David E. – International Educational Data Mining Society, 2012
We apply collaborative filtering (CF) to dichotomously scored student response data (right, wrong, or no interaction), finding optimal parameters for each student and item based on cross-validated prediction accuracy. The approach is naturally suited to comparing different models, both unidimensional and multidimensional in ability, including a…
Descriptors: Factor Analysis, Prediction, Item Response Theory, Student Reaction
Rakes, Christopher R. – ProQuest LLC, 2010
In this study, the author examined the relationship of probability misconceptions to algebra, geometry, and rational number misconceptions and investigated the potential of probability instruction as an intervention to address misconceptions in all 4 content areas. Through a review of literature, 5 fundamental concepts were identified that, if…
Descriptors: Control Groups, Fundamental Concepts, Intervention, Structural Equation Models
Ferdous, Abdullah A.; Plake, Barbara S. – Educational and Psychological Measurement, 2008
Even when the scoring of an examination is based on item response theory (IRT), standard-setting methods seldom use this information directly when determining the minimum passing score (MPS) for an examination from an Angoff-based standard-setting study. Often, when IRT scoring is used, the MPS value for a test is converted to an IRT-based theta…
Descriptors: Standard Setting (Scoring), Scoring, Cutting Scores, Item Response Theory