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item Response Theory Principles : Principles and Applications
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IRT Model Misspecification and Measurement of Growth in Vertical Scaling
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Pengarang: Daniel M. Bolt, Sien Deng, Sora Lee | No. Panggil: Journal of Educational Measurement, Vol.51 No.2, 2014 Summer p.141-162 |
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An Enhanced Approach to Combine Item Response Theory With Cognitive Diagnosis in Adaptive Testing
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Item Response Theory Models for Performance Decline During Testing
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a Nonparametric Approach to Estimate Classification Accuracy and Consistency
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A Note on Conditional and Quasi-Conditional Maximum Likelihood Estimation for Polytomous Item Response Models: Robust Inference in the Presence of Individual Differences in Response Scale Use
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Pengarang: Timothy R. Johnson | No. Panggil: Applied Psychological Measurement, Vol.38, No.8, Nov 2014 p.599-613 |
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A Note on Conditional and Quasi-Conditional Maximum Likelihood Estimation for Polytomous Item Response Models: Robust Inference in the Presence of Individual Differences in Response Scale Use
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Asymptotic Standard Errors for Item Response Theory True Score Equating of Polytomous Items
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Pengarang: Cheow Cher Wong | No. Panggil: Journal of Educational Measurement, Vol.52, No.1, 2015 Spring p.106-120 |
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A Symptotic Standard Errors for Item Response Theory True Score Equating of Polytomous Items
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Item Response Theory Models for Carry- Over Effect Acrosss Different Scales
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