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Hongyun Liu
hyliu@bnu.edu.cn
English, Chinese
Beijing
Beijing Normal University
Psychology
  • 2018.9-2019.8 Visiting Scholar: University of Notre Dame, USA
  • 2003.7-2004.7 Postdoctoral: Chinese University of Hong Kong
  • 2002.11-2003.2 Visiting Scholar: Chinese University of Hong Kong
  • 2000.9-2003.7 PhD in Psychometrics and Statistics: Beijing Normal University
  • 1993.9-1996.7 Master's in Applied Statistics: Shanxi University
  • 1989.9-1993.7 Bachelor's in Probability and Statistics: Shanxi University
  • 2013.7-present Professor: Beijing Normal University, School of Psychology
  • 2006.7-2013.7 Associate Professor: Beijing Normal University, School of Psychology
  • 2004.9-2006.7 Lecturer: Beijing Normal University, School of Psychology
  • 1996.7-2000.9 Lecturer: Shanxi University, School of Education Science
  • Liaoning Province Philosophy and Social Science Achievement Award (Seventh Session) Second Prize, Liaoning Province, 2021
  • Shandong Province Education Science Outstanding Achievement First Prize, Shandong Province Education Science Outstanding Achievement Award Review Committee, 2021
  • Beijing Higher Education 'Quality Undergraduate Course' Award for 'Psychological Statistics', Beijing Municipal Education Commission, 2020
  • Beijing Higher Education Excellent Professional Course Lecturer, Beijing Municipal Education Commission, 2020
  • 17th Beijing Normal University Teaching Excellence Award, 2021
  • Beijing Normal University Undergraduate Teaching Excellence Award, 2017
  • Beijing Normal University Tongding Young Teacher Award (Graduate Teaching), 2016.01
  • International Psychometric Society Organization Award, International, 2015.07
  • 13th Beijing Philosophy and Social Science Outstanding Achievement Award Special Prize, 'Chinese Education Encyclopedia (Four Volumes)', Beijing, 2014.12
  • First Prize for Basic Education Curriculum Reform Teaching Research Achievement: 'Establishing a System for Evaluating, Analyzing, Feedback, and Guiding Academic Quality of Primary and Secondary School Students', Ministry of Education of the People's Republic of China, 2010.12
Internet-based Test Development
Educational and Psychological Measurement Theory and Application
Advances and Applications in Quantitative Research Methods
  • A Systematic Framework for Defining R-squared Measures in Mediation Analysis, Liu, H., Yuan, K-H., Li, H., 2023
  • Longitudinal relationship between number line estimation and other mathematical abilities in Chinese preschool children, Xu, X., Chen, C., Wang, L., Zhao, M., Xin, Z., Liu, H., 2023
  • A state response measurement model for problem‑solving process data, Xiao,Y., Liu,H., 2023
  • Victim profiles and the protective role of school anti‑bullying norms: a study of Chinese adolescents, Zhao, D., Wang, D., He, Z., Yuan, S., Zhu, D., Liu, H., 2022
  • A multilevel person-centered examination of students' learning anxiety and its relationship with student background and school factors, Wu,R., Shi, P., Wu,X., Yang,H., Liu,H., Liu, J., 2022
  • Dynamic and cyclic relationships between employees' intrinsic and extrinsic motivation: Evidence from dynamic multilevel modeling analysis, Li, R., Liu,H., Chen, Z., Wang, Y., 2022
  • A monte carlo confidence interval method for testing measurement invariance, Li, H., & Liu, H., 2022
  • Do real-time strategy video gamers have better attentional control?, He, M., Xu, L.-X., Li, C.-s. R., Liu, Z., Hu, J., Guo, X., Liu, H., & Zhang, J.-T., 2022
  • Automated and interactive game-based assessment of critical thinking, Wang D., Liu H., Hau K-T., 2021
  • The role of cognitive activation in predicting mathematics self-efficacy and anxiety among internal migrant and local children, Liu Y., Wang C., Liu J., & Liu H., 2021
  • Two-level moderated mediation models with single-level data and new measures of effect sizes, Liu,H., Yuan, K-H., Wen, Z., 2021
  • A Sequential Response Model for Analyzing Process Data on Technology-Based Problem-Solving Tasks, Han, Y., Liu, H., & Ji, F., 2021
  • Exploring latent states of problem-solving competence using hidden Markov model on process data, Xiao, Y., He, Q., Veldkamp, B., & Liu, H., 2021
  • Detecting Noneffortful Responses Based on a Residual Method Using an Iterative Purification Process, Liu,Y., Liu,H., 2021
  • Teacher-student relationship as a protective factor for socioeconomic status, students’ self-efficacy and achievement: a multilevel moderated mediation analysis, Liu H, Liu Q, Du X, Liu J., Hoi W, Schumacker, R.E., 2021
  • Differential Item Functioning Analysis without A Priori Information on Anchor Items: QQ Plots and Graphical Test, Yuan K-H, Liu H., Han Y., 2021
  • Comparisons of academic achievements of one-only children vs. children with siblings in China, Li M, Cai M, Zhong H, Liu H., 2021
  • New Measures of Effect Size in Moderation Analysis, Liu H, Yuan K-H., 2021
  • Identifying Effortful Individuals with Mixture Modeling Response Accuracy and Response Time Simultaneously to Improve Item Parameter Estimation, Liu Y, Cheng Y, Liu H., 2020
  • Examining the relationships between cognitive activation, self‐efficacy, socioeconomic status, and achievement in mathematics: A multi‐level analysis, Li H, Liu J, Zhang D, Liu H., 2020
  • A Two-level Moderated Latent Variable Model with Single Level Data, Liu H, Yuan K-H., Liu F, 2019
  • A Comparison of CFA, ESEM, and BSEM in Test Structure Analysis, Xiao Y, Liu H., Hau K.T, 2019
  • The Feedback of the Chinese Learning Diagnosis System for Personalized Learning in Classrooms, You X, Li M, Xiao Y and Liu H., 2019
  • Assessment of Collaborative Problem Solving Based on Process Stream Data: A New Paradigm for Extracting Indicators and Modeling Dyad Data, Yuan J, Xiao Y and Liu H., 2019
  • Effects of Working Memory, Strategy Use, and Single-Step Mental Addition on Multi-Step Mental Addition in Chinese Elementary Students, Ding Y, Liu R-D, Liu H, Wang J, Zhen R and Jiang R-H, 2019
  • Modeling Test-taking Non-effort in MIRT Models, Liu Y, Li Z, Luo F., Liu H., 2019
  • Analysis of Process Data of PISA 2012 Computer-Based Problem Solving: Application of the Modified Multilevel Mixture IRT Model, Liu H., Liu Y., Li M.
Internet-Based Test Development: Core Competency Assessment Higher-Order Thinking Assessment Process Data Mining Online Testing Digital Assessment Adaptive Testing E-Learning Psychometrics Educational Technology Data Analysis Educational And Psychological Measurement Theory And Application: Measurement Theory Application Practice Educational Assessment Psychological Assessment Test Development Validity Reliability Item Response Theory Advances And Applications In Quantitative Research Methods: Structural Equation Modeling Longitudinal Data Analysis Multilevel Linear Models Quantitative Methods Statistical Analysis Data Modeling Research Methodology Advanced Statistics Data Interpretation

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