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Item Response Theory2
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ProQuest LLC2
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Sunnassee, Devdass1
Wu, Yi-Fang1
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Accuracy and Variability of Item Parameter Estimates from Marginal Maximum a Posteriori Estimation and Bayesian Inference via Gibbs Samplers
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Wu, Yi-Fang – ProQuest LLC, 2015
Item response theory (IRT) uses a family of statistical models for estimating stable characteristics of items and examinees and defining how these characteristics interact in describing item and test performance. With a focus on the three-parameter logistic IRT (Birnbaum, 1968; Lord, 1980) model, the current study examines the accuracy and…
Descriptors: Item Response Theory, Test Items, Accuracy, Computation
Conditions Affecting the Accuracy of Classical Equating Methods for Small Samples under the NEAT Design: A Simulation Study
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Sunnassee, Devdass – ProQuest LLC, 2011
Small sample equating remains a largely unexplored area of research. This study attempts to fill in some of the research gaps via a large-scale, IRT-based simulation study that evaluates the performance of seven small-sample equating methods under various test characteristic and sampling conditions. The equating methods considered are typically…
Descriptors: Test Length, Test Format, Sample Size, Simulation