Bayesian Joint Modeling of Response Times with Dynamic Latent Ability in Educational Testing. [PDF]
PsychometrikaWang X, Saha A, Dey DK.
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DPpackage: Bayesian Semi- and Nonparametric Modeling in R
Data analysis sometimes requires the relaxation of parametric assumptions in order to gain modeling flexibility and robustness against mis-specification of the probability model.
Fernando A. Quintana +4 more
core
The Impact of Insufficient Effort Responses on the Order of Category Thresholds in the Polytomous Rasch Model. [PDF]
Educ Psychol MeasJin KY, Eckes T.
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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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Primary human neutrophils and monocytes migrate along endothelial cell boundaries to optimize search efficiency under static in vitro conditions. [PDF]
Biol OpenHonig N +12 more
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Exogenously Driven Neural Reactivation of Spatially Matching Visual Working-Memory Contents. [PDF]
eNeuroFuentes-Guerra Á +3 more
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Regularized Joint Maximum Likelihood Estimation of Latent Space Item Response Models. [PDF]
PsychometrikaMolenaar D, Jeon M.
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Investigating the accuracy of adjusting for examiner differences in multi-centre Objective Structured Clinical Exams (OSCEs). A simulation study of video-based Examiner Score Comparison and Adjustment (VESCA). [PDF]
BMC Med EducYeates P, McCray G.
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Enhancing Effort-Moderated Item Response Theory Models by Evaluating a Two-Step Estimation Method and Multidimensional Variations on the Model. [PDF]
Educ Psychol MeasWang B +3 more
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