A modified expectation-maximization algorithm for accelerated item response theory model estimation with large datasets. [PDF]
Behav Res MethodsFeng T, Cai L.
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DIF: Concepts, Measurement, and Impact in Patient-Focused Drug Development and Regulatory Decision-Making. [PDF]
Drug Des Devel TherCao K, Liu W, Yang L, Luo M, Hou Y.
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An Extended Two-Parameter Logistic Item Response Model to Handle Continuous Responses and Sparse Polytomous Responses. [PDF]
PsychometrikaLi S, Shin HJ.
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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]
PLoS OneFuentes Mendoza EM +11 more
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Joint Item Response Models for Manual and Automatic Scores on Open-Ended Test Items. [PDF]
PsychometrikaBengs 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]
Educ Psychol MeasEngels O, Lüdtke O, Robitzsch A.
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Out-of-Plane Skew Effects on the Cyclic Performance of Column-Tree Steel Moment Connections. [PDF]
Materials (Basel)Kim GW, Hong JK.
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Psychometric validation of the Paykel Suicidal Behavior Scale in Mexican adolescents. [PDF]
Rev Saude PublicaSéris-Martínez M +6 more
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Evaluation of Item Fit With Output From the EM Algorithm: RMSD Index Based on Posterior Expectations. [PDF]
Educ Psychol MeasKim YK, Cai L, Kim Y.
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Neural Network Copulas for Generating Synthetic Test Data Preserving Psychometric Properties. [PDF]
J IntellJung J, Lee M, Lee WC.
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