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Applied Measurement in Education, 2016
ABSTRACTTestlets, or groups of related items, are commonly included in educational assessments due to their many logistical and conceptual advantages. Despite their advantages, testlets introduce complications into the theory and practice of educational measurement.
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ABSTRACTTestlets, or groups of related items, are commonly included in educational assessments due to their many logistical and conceptual advantages. Despite their advantages, testlets introduce complications into the theory and practice of educational measurement.
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The item parameter estimation of an item response theory (IRT) model with fixed ability estimates is useful in equating with a small sample. The current study explores the impact of three ability estimation methods (maximum likelihood estimation [MLE], maximum a posteriori [MAP], and posterior ability distribution estimation [PST]) and three priors on ...
Jianbin Fu, TsungHan Ho, Xuan Tan
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Jianbin Fu, TsungHan Ho, Xuan Tan
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International Journal of Research and Innovation in Social Science
The purpose of this paper is to investigate into which of the models of item Response Theory that fits into the Wechsler Preschool and Primary Scale of Intelligence (WPPSI-IV) with a view to adapting the WPPSI-IV to measure the intelligence of Nigerian children aged approximately 7.
Adepoju, Olufemi Adetunji. +2 more
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The purpose of this paper is to investigate into which of the models of item Response Theory that fits into the Wechsler Preschool and Primary Scale of Intelligence (WPPSI-IV) with a view to adapting the WPPSI-IV to measure the intelligence of Nigerian children aged approximately 7.
Adepoju, Olufemi Adetunji. +2 more
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This interactive Shiny app is ideal for educators, allowing you to explore and understand Item Response Theory (IRT) models, including 2PL, 3PL, and Rasch. Visualize Item Characteristic Curves (ICCs), item information functions, and key parameters to gain insights into how these models function and analyze educational data in real-time (in files, you ...
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Korean Society for Educational Evaluation
Item parameters of item response theory (IRT) models are often estimated by the Bayesian modal (BM) method, which is an extension of the marginal maximum likelihood (MML) method. The purpose of this study is to present a general method to estimate the asymptotic standard errors (SEs) of MML or BM item parameter estimators and to examine its specific ...
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Item parameters of item response theory (IRT) models are often estimated by the Bayesian modal (BM) method, which is an extension of the marginal maximum likelihood (MML) method. The purpose of this study is to present a general method to estimate the asymptotic standard errors (SEs) of MML or BM item parameter estimators and to examine its specific ...
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Comparison of Two MCMC Approaches to Missing Response Data in 2PL Model
Acta Psychologica Sinica, 2009Li ZENG, Tao XIN, Shu-Mei ZHANG
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The biofilm life cycle: expanding the conceptual model of biofilm formation
Nature Reviews Microbiology, 2022Karin Sauer +2 more
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Machine learning methods to model multicellular complexity and tissue specificity
Nature Reviews Materials, 2021Aaron K Wong, Olga G Troyanskaya
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Promoting cancer screening within the patient centered medical home
Ca-A Cancer Journal for Clinicians, 2011Robert A Smith
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