Using Item Response Theory Models in Scaling Severity Scores in Alcohol Research-A Tutorial. [PDF]
Schulze D +3 more
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분산 데이타베이스 체제하의 통합 동시성 제어방법의 성능에 관한 연구
학위논문(석사) - 한국과학기술원 : 전산학과, 1987.2, [ iii, 46, [15] p. ]In this thesis, an integrated concurrency control (CC) method for fully replicated databases, called OPTLOCK, is presented, which allows both locking and optimistic scheme but adaptively selects ...
Won, Yoo-Heung, 원유흥
core
A modified expectation-maximization algorithm for accelerated item response theory model estimation with large datasets. [PDF]
Feng T, Cai L.
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DIF: Concepts, Measurement, and Impact in Patient-Focused Drug Development and Regulatory Decision-Making. [PDF]
Cao K, Liu W, Yang L, Luo M, Hou Y.
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The One-Parameter Logistic Model Can Be True With Zero Probability for a Unidimensional Measuring Instrument: How One Could Go Wrong Removing Items Not Satisfying the Model. [PDF]
Raykov T, Zhang B.
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An Extended Two-Parameter Logistic Item Response Model to Handle Continuous Responses and Sparse Polytomous Responses. [PDF]
Li S, Shin HJ.
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Score-Based Tests With Fixed Effects Person Parameters in Item Response Theory: Detecting Model Misspecification Including Differential Item Functioning. [PDF]
Debelak R, Driver CC.
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Normative Data for Learning and Memory Test (TAMV-I) in Latin American and Spanish Children: An item response theory and linear mixed models approach. [PDF]
Fuentes Mendoza EM +11 more
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Joint Item Response Models for Manual and Automatic Scores on Open-Ended Test Items. [PDF]
Bengs D, Brefeld U, Kroehne U, Zehner F.
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Estimating Trends With Differential Item Functioning: A Comparison of Five IRT-Based Approaches. [PDF]
Engels O, Lüdtke O, Robitzsch A.
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