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Jue Wang

Jue Wang

Jue Wang, Ph.D. is an assistant professor in Research, Measurement & Evaluation Program at The University of Miami. Dr. Wang received her Ph.D. in Quantitative Methodology (QM) Program under Educational Psychology at The University of Georga (UGA) in 2018. She also obtained a M.S. degree in Statistics at UGA. While at UGA, Dr. Wang was awarded the Owen Scott Doctoral Research Scholarship in 2016 recognizing the contribution of her research work on evaluating rater accuracy and perception using Rasch measurement theory. Furthermore, she received the QM Outstanding Student Award in 2018 recognizing her accomplishments in research, teaching, and service during graduate school. Her research focuses on examining rating quality and exploring rater perception in rater-mediated assessments using measurement models, such as a family of Rasch models, unfolding models, and multilevel item response models. She has published in major journals related to measurement including Educational and Psychological Measurement, Journal of Educational Measurement, Assessing Writing, and Psychological Test and Assessment Modeling.

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1.
Invariant Measurement32 %
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Invariant Measurement30 % NR
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The Financial Development of China37 %
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27 Nov 2025
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Robust Environmental Perception and Reliability Control for Intelligent Vehicles37 %
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The Financial Development of China37 %
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Robust Environmental Perception and Reliability Control for Intelligent Vehicles37 %
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RNA Polymerases as Molecular Motors47 %
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The Secret of the Human Brain8 % NR
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The Secret of the Human Brain8 % NR
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Characterization, Applications and New Technologies of Civil Engineering Materials and Structures24 % NR
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Zhang Yijing (1871–1931) and the Search for a Chinese Christian Identity29 % NR
Publisher: Langham Publishing
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Globalizing Regionalism and International Relations49 % NR
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Global Perspectives on China's Belt and Road Initiative30 % NR
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Optical Interferometry11 % NR
Publisher: InTechOpen
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15 Feb 2017
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Rasch Models for Solving Measurement Problems31 %
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02 Mar 2021
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Invariant Measurement
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Invariant Measurement
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RNA Polymerases as Molecular Motors
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Rasch Models for Solving Measurement Problems
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