郑蝉金 - 华东师范大学

个人简介

郑蝉金，男，安徽歙县人。现任华东师范大学教育心理学系副教授。2015年获得美国伊利诺伊大学香槟分校教育心理学博士（教育心理测量与统计专业）与统计学硕士学位。主要研究领域为心理与教育测量与评价、认知诊断测验、计算机适应性测验、应用统计与研究方法。主持参与科研项目多项，其中包括国家自然科学基金项目在内的纵向项目2项。发表学术论文20余篇，其中在应用心理学Journal of Applied Psychology，心理与教育测量国际期刊Journal of Educational Measurement, Applied Psychological Measurement等发表SSCI论文11篇，在心理学报、心理科学等中文核心期刊发表论文8篇。美国教育研究协会（AERA），美国国家教育测量委员会（NCME）、美国心理测量学会（Psychometric Society）会员，美国心理学会（APA）会员；曾任或现任学术杂志Journal of Educational Measurement, Applied Psychological Measurement，Frontiers in Psychology，心理学报、心理科学的匿名外审专家。教育经历 2010-2015 美国伊利诺伊大学香槟分校，教育心理学博士 2010-2013美国伊利诺伊大学香槟分校，应用统计学硕士 2007-2010 北京师范大学，发展与教育心理学硕士 1997-2001 北京外国语大学，英语语言与文化学士

研究领域

心理与教育测量、统计：计算机化自适应测评认知诊断建模与计算机化自适应测评项目反应理论模型

近期论文

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Guo, S., Wu, T., Zheng, C*., & Chen, Y. J. A. P. M. (2021). Bayesian Modal Estimation for the One-Parameter Logistic Ability-Based Guessing (1PL-AG) Model. Applied Psychological Measurement. Guo, S., Zheng, C*., & Kern, J. L. J. A. P. M. (2020). IRTBEMM: An R Package for Estimating IRT Models With Guessing or Slipping Parameters. 44(7-8), 566-567. Guo, L., & Zheng, C*. (2019). Termination Rules for Variable-Length CD-CAT From the Information Theory Perspective. Front Psychol, 10, 1122. doi:10.3389/fpsyg.2019.01122 Liu, Z., Riggio, R. E., Day, D. V., Zheng, C., Dai, S., & Bian, Y. (2019). Leader development begins at home: Overparenting harms adolescent leader emergence. Journal of Applied Psychology. Zheng, C., & Guo, S. (2019). The Bayesian Expectation-Maximization-Maximization for the 3PLM. Frontiers in Psychology, 10, 1175. Zheng, C., & Sinharay, S. (2019). A Review of Sociocognitive Foundations of Educational Measurement. Zheng, C.*, Meng, X., Guo, S. & Liu, Z. (2018). Expectation - Maximization- Maximization: a Feasible Mixture-model-based MLE Algorithm for the Three-parameter Logistic Model. Frontiers in Psychology. Zheng, C.*, He, G. & Gao, C. (2017). The information product methods: A unified approach to dual-purpose computerized adaptive testing. Applied Psychological Measurement. Zheng, C.*, & Wang, C. (2017). Application of binary searching for item exposure control in cognitive diagnostic computerized adaptive testing. Applied Psychological Measurement. Zheng, C.*, & Chang, H.-H. (2016). High-Efficiency Response Distribution– Based Item Selection Algorithms for Short-Length Cognitive Diagnostic Computerized Adaptive Testing. Applied Psychological Measurement, 40(8), 608-624. Wang, S., Zheng, Y., Zheng, C., Su, Y.-H., & Li, P. (2016). An Automated Test Assembly Design for a Large-Scale Chinese Proficiency Test. Applied Psychological Measurement,40(3), 233-237. Wang, C., Zheng, C., & Chang, H. H. (2014). An Enhanced Approach to Combine Item Response Theory With Cognitive Diagnosis in Adaptive Testing. Journal of Educational Measurement, 51(4), 358-380. Wang, D., Hu, M., Zheng, C., & Liu, Z. (2017). Psychometric Properties of the Chinese Shortened Version of the Zuckerman–Kuhlman Personality Questionnaire in a Sample of Adolescents and Young Adults. Frontiers in Psychology, 8. Wilson, T. M., Zheng, C., Lemoine, K. A., Martin, C. P., & Tang, Y. (2016). Achievement Goals During Middle Childhood: Individual Differences in Motivation and Social Adjustment.The Journal of Experimental Education,84(4), 723-743. 田雪垠, 郑蝉金*, 郭少阳, & 贺冠瑞. (2019). 基于多层验证性因素分析的各种信度系数方法. 心理学探新(5), 13. 高椿雷，罗照盛，喻晓锋，彭亚风，郭小军，郑蝉金*. (2017). CD-CAT初始阶段项目选取方法. 心理科学. 高椿雷;罗照盛;郑蝉金;喻晓锋;彭亚风.(2017). 具有认知诊断功能的多阶段自适应测验. 心理科学. 高椿雷，罗照盛，喻晓锋，彭亚风，& 郑蝉金*(2016). CD-MST（认知诊断多阶段自适应考试）初始阶段模块组建方法比较. 心理学报郭磊，郑蝉金，边玉芳，宋乃庆，夏凌翔(2016).认知诊断计算机化自适应测验中新的选题策略：结合项目区分度指标. 心理学报郭磊, 郑蝉金, 边玉芳. (2015). 变长 CD-CAT(认知诊断计算机自适应测验) 中的曝光控制与终止规则. 心理学报, 47(1), 129-140. 郑蝉金, 郭聪颖, & 边玉芳. (2011). 变通的题组项目功能差异检验方法在篇章阅读测验中的应用. 心理学报, 43(7), 830-835.