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Applied Measurement in…2
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Gao, Furong1
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Bayesian Estimation and Testing of a Linear Logistic Test Model for Learning during the Test
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Lozano, José H.; Revuelta, Javier – Applied Measurement in Education, 2021
The present study proposes a Bayesian approach for estimating and testing the operation-specific learning model, a variant of the linear logistic test model that allows for the measurement of the learning that occurs during a test as a result of the repeated use of the operations involved in the items. The advantages of using a Bayesian framework…
Descriptors: Bayesian Statistics, Computation, Learning, Testing
Bayesian or Non-Bayesian: A Comparison Study of Item Parameter Estimation in the Three-Parameter Logistic Model
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Gao, Furong; Chen, Lisue – Applied Measurement in Education, 2005
Through a large-scale simulation study, this article compares item parameter estimates obtained by the marginal maximum likelihood estimation (MMLE) and marginal Bayes modal estimation (MBME) procedures in the 3-parameter logistic model. The impact of different prior specifications on the MBME estimates is also investigated using carefully…
Descriptors: Simulation, Computation, Bayesian Statistics, Item Analysis