个人资料
教育经历2011-2015 北京师范大学 心理学 本科 2015-2018 北京师范大学 心理统计与测量 硕士 2018-2022 北京师范大学 心理统计与测量 博士 2019-2010 University of Twente 联合培养博士 工作经历2022至今 华东师范大学 教育学部教育心理学 晨晖学者 个人简介社会兼职研究方向教育与心理统计 教育与心理测量 招生与培养开授课程教育量化思维与推理(本科生) 医学统计与研究(本科生) 高级结构方程模型(研究生) 离散数据处理(研究生) 科研项目密集型追踪成对数据分析模型的建构及其在心理学研究中的应用,国家自然科学基金青年项目,主持,2023-2026 中国高考测量难度质控体系建构,教育部哲学社会科学研究重大委托项目“中国高考难度理论及质控体系研究”子课题 ,参与,2025-2027 学术成果Xiao, Y., & Liu, H. (2025). Detrending for Intensive Longitudinal Dyadic Data Analysis Using DSEM. Structural Equation Modeling-a Multidisciplinary Journal, 32(3), 450-459. . https://doi.org/10.1080/10705511.2024.2442980 Xiao, Y.,& Liu, H. (2025).A Mixture Modeling Approach to Detect Different Behavioral Patterns for Process Data. Fudan Journal of the Humanities and Social Sciences,18, 79–113.https://doi.org/10.1007/s40647-024-00405-4 Xiao, Y.,& Liu, H. (2024). A state response measurement model for problem‑solving process data. Behavior Research Methods, 56, 258–277.https://doi.org/10.3758/s13428-022-02042-9 Xiao, Y.,Wang, P. & Liu, H. (2023). Assessing Intra- and Inter-individual Reliabilities in Intensive Longitudinal Studies: A Two-Level Random Dynamic Model-Based Approach. Psychological Methods. Advance online publication. https://doi.org/10.1037/met0000608 Xiao, Y.,Veldkamp, B., & Liu, H. (2022). Combining Process Information and Item Response Modelling to Estimate Problem-Solving Ability. Educational Measurement: Issues and Practice, 41(2), 36–54. http://doi.org/10.1111/emip.12474. Xiao, Y., He, Q., Veldkamp, B. & Liu, H. (2021). Exploring latent states of problem-solving competence using hidden Markov model on process data. Journal of Computer Assisted Learning, 37(5), 1232–1247. https://doi.org/10.1111/jcal.12559 Xiao, Y., Liu, H., & Hau, K.-T. (2019). A Comparison of CFA, ESEM, and BSEM in Test Structure Analysis. Structural Equation Modeling: A Multidisciplinary Journal, 26(5), 665–677. https://doi.org/10.1080/10705511.2018.1562928 Xiao, Y., Liu, H., & Li, H. (2017). Integration of the Forced-Choice Questionnaire and the Likert Scale: A Simulation Study. Frontiers in psychology, 8, Article 806.https://doi.org/10.3389/fpsyg.2017.00806 Jiao, L., Jiang, W., Guo, Z., Xiao, Y., Yu, M., Xu, Y. (2023). Good personality and subjective well-being during the COVID-19 pandemic: A three-wave longitudinal study in Chinese contexts. Journal of Happiness Studies, 24(2), 589-606. http://doi.org/10.1007/s10902-022-00610-6. Yuan, J., Xiao, Y., & Liu, H.(2019). Assessment of Collaborative Problem Solving Based on Process Stream Data: A New Paradigm for Extracting Indicators and Modeling Dyad Data. Frontiers in Psychology, 10, Article 369.https://doi.org/10.3389/fpsyg.2019.00369 You, X., Li, M., Xiao, Y., & Liu, H. (2019). The Feedback of the Chinese Learning Diagnosis System for Personalized Learning in Classrooms. Frontiers in Psychology, 10, Article 1751.https://doi.org/10.3389/fpsyg.2019.01751 肖悦, 刘红云, 徐永泽. (2024).密集追踪成对数据分析的模型建构探索. 心理科学进展, 32(9), 1450–1462. https://doi.org/10.3724/SP.J.1042.2024.01450 韩雨婷, 肖悦, & 刘红云. (2022). 问题解决测验中过程数据的特征抽取与能力评估. 心理科学进展, 30(6), 1393–1409. 李辉, 肖悦, & 刘红云. (2017). 抗作假人格迫选测验中瑟斯顿IRT模型的影响因素. 北京师范大学学报(自然科学版), 53(5), 624-630. 荣誉及奖励 |