心理测量与评价方向博士（北师大心理学院与美国伊利诺伊大学香槟分校心理系联合培养），副教授，博士生导师，方法组组长，美国明尼苏达大学心理系、华盛顿大学教育学院访问学者。从事心理测量理论、计算机化自适应测验与分类测验、测量模型的参数估计、大规模测评项目的测评技术与方法等方面的教研工作。主持国家自然科学基金青年项目和面上项目、人社部国家外国专家项目等多项课题，已在Psychometrika、Br J Math Stat Psychol (BJMSP)、Behav Res Methods、J Educ Behav Stat、J Educ Meas (JEM)、Appl Psych Meas、Educ Meas-Issues Pra和心理学报等主流权威期刊发表论文60余篇，参编著作3部。目前担任JEM副主编、双语期刊Chin Engl J Educ Meas Eval副主编、BJMSP的Consulting Editor、中国教育技术协会测量与评价专业委员会副会长，曾任美国教育研究协会（AERA）“量化方法与统计理论”模块的联合主席（2021-2022）。多年来，为国家监测各个环节中出现的“统计测量难题”提供解决方案，围绕“跨年等值”、“标准设定”、“计算机测评”和“题库建设”等核心关键技术开展深入研究与实践。

招生要求：欢迎有心理学/统计学/计算机科学/数学专业背景、对心理测量与评价专业感兴趣的优秀学生报考。希望你热爱科研，踏实认真，有较强的自主学习动机。

部分研究成果：

[1] Yuan, L., Huang, Y. S., & Chen, P.* (Accepted). Online calibration for multidimensional CAT with polytomously scored items: A neural network based approach. Journal of Educational and Behavioral Statistics.

[2] Zhang, L. F., & Chen, P.* (2024). A neural network paradigm for modeling psychometric data and estimating IRT model parameters: Cross estimation network. Behavior Research Methods, 56(7), 7026–7058.

[3] Li, J., & Chen, P.* (2024). A new Q-matrix validation methods based on signal detection theory. British Journal of Mathematical and Statistical Psychology. doi: 10.1111/BMSP.12371

[4] Zeng, Q., Song, Z. L., Yang, Z. Y., Wang, S. Y., & Chen, P.* (2024). Career construction networks among junior and senior high school students. Journal of Career Assessment. doi: https://doi.org/10.1177/10690727241269

[5] Zeng, Q., He, Y. S., Quan, J. X., Yang, Y., Li, J., & Chen, P.* (2024). Career maturity and career adaptability among vocational high school students: A moderated mediation model of future time perspective and future work self. International Journal for Educational and Vocational Guidance. doi: 10.1007/s10775-024-09708-0

[6] Zeng, Q., Yang, Z. L., Xiao, T., Luo, H. J., & Chen, P.* (Accepted). Different parental rearing behaviors and depressive symptoms of adolescents: Roles of psychological insecurity and core self-evaluations. School Psychology International.

[7] Huang, Y. S., Ren, H., & Chen, P.* (2023). Item selection methods with exposure and time control for computerized classification test. British Journal of Mathematical and Statistical Psychology, 76(1), 52–68.

[8] Yuan, L., Huang, Y. S., Li, S. H., & Chen, P.* (2023). Online Calibration in Multidimensional Computerized Adaptive Testing with Polytomously Scored Items. Journal of Educational Measurement, 60(3), 476–500.

[9] Yuan, L., Liu, Y. L., Chen, P.*, & Xin, T.* (2022). Development of a new learning progression verification method based on the hierarchical diagnostic classification model: Taking grade 5 students’ fractional operations as an example. Educational Measurement: Issues and Practice, 41(3), 69–82.

[10] Chen, P*., & Wang, C. (2021). Using EM algorithm for finite mixtures and reformed supplemented EM for MIRT calibration. Psychometrika, 86(1), 299–326.

[11] He, Y. H.*, Chen, P.*, & Li, Y. (2021). Maximum information per time unit designs for continuous online item calibration. British Journal of Mathematical and Statistical Psychology, 74, 24–51.

[12] He, Y. H., & Chen, P.* (2020). Optimal online calibration designs for item replenishment in adaptive testing, Psychometrika, 85(1), 35–55.

[13] Chen, P., Engel, S., & Wang, C.* (2020). The multivariate adaptive design for efficient estimation of the time-course of perceptual adaptation. Behavior Research Methods, 52(3), 1073–1090.

[14] He, Y. H., Chen, P.*, Li, Y. (2020). New efficient and practicable designs for calibrating items online. Applied Psychological Measurement, 44(1), 3–16.

[15] He, Y. H., Chen, P.*, Li, Y., & Zhang, S. M. (2017). A new online calibration method based on Lord’s bias-correction. Applied Psychological Measurement, 41(6), 456–471.

[16] Chen, P.* (2017). A comparative study of online item calibration methods in multidimensional computerized adaptive testing. Journal of Educational and Behavioral Statistics, 42(5), 559–590.

[17] Chen, P.*, Wang, C., Xin, T., & Chang, H. (2017). Developing new online calibration methods for multidimensional computerized adaptive testing. British Journal of Mathematical and Statistical Psychology, 70(1), 81–117.

[18] Chen, P.*, & Wang, C. (2016). A new online calibration method for multidimensional computerized adaptive testing. Psychometrika, 81(3), 674–701.

[19] Chen, P.*, & Xin, T. (2014). Online calibration with cognitive diagnostic assessment. In Cheng, Y., & Chang, H. (eds), Advancing Methodologies to Support Both Summative and Formative Assessments (pp. 287–313). Charlotte, NC: Information Age Publishing Inc.

[20] Chen, P.*, Xin, T., Wang, C., & Chang, H. (2012). Online calibration methods for the DINA model with independent attributes in CD-CAT. Psychometrika, 77(2), 201–222.

[21] 陈平, 李潇*, 任赫, 辛涛. (2023). 改良单组设计下的跨年等值影响因素研究. 心理科学, 46(4), 960–970.

[22] 陈平*, 黄颖诗, 代艺. (2023). 测验模式效应：来源、检测与应用. 心理科学进展, 31(10), 1966–1980.

[23] 陈平*, 任赫. (2023). 计算机化自适应测验. 王孟成, 刘拓 (主编), 心理与行为定量研究手册 (pp. 102–134), 重庆大学出版社.

[24] 任赫, 黄颖诗, 陈平*. (2022). 计算机化分类测验终止规则的类别、特点及应用.心理科学进展, 30(5), 1168–1182.

[25] 陈平. (2022). 浅谈标准设定中的关键技术：来自我国大规模测评项目的经验. 中国考试, 8, 48–56.

[26] 任赫, 陈平*. (2021). 两种新的多维计算机化分类测验终止规则. 心理学报, 53(9), 1044–1058.

[27] 薛明锋, 陈平*, 刘拓, 甄锋泉. (2021). 在GLMM框架下统一GT和IRT. 心理科学, 44(2), 449–456.

[28] 陈冠宇, 陈平*. (2019). 解释性项目反应理论模型：理论与应用. 心理科学进展, 27(5), 937–950.

[29] 聂旭刚, 陈平*, 张缨斌, 何引红. (2018). 题目位置效应的概念及检测. 心理科学进展, 26(2), 368–380.

[30] 陈平*. (2016). 两种新的计算机化自适应测验在线标定方法. 心理学报, 48(9), 1184–1198.

[31] 詹沛达, 陈平*, 边玉芳*. (2016). 使用验证性补偿多维IRT模型进行认知诊断评估. 心理学报, 48(10), 1347–1356.

[32] 林喆, 陈平, 辛涛*. (2015). 允许CAT题目检查的区块题目袋方法. 心理学报, 49 (7), 1188–1198.

[33] 陈平*, 张佳慧, 辛涛. (2013). 在线标定技术在计算机化自适应测验中的应用. 心理科学进展, 21(10), 1883–1892.

[34] 陈平, 辛涛*. (2013). Bookmark标准设定中的分界分数估计方法比较. 北京师范大学学报 (自然科学版), 49(1), 105–110.

[35] 陈平*. (2012). 认知诊断计算机化自适应测验中题目参数的在线标定及其设计. 涂冬波, 蔡艳, 丁树良 (主编), 认知诊断理论、方法与应用 (pp. 189–204), 北京师范大学出版社.

[36] 陈平, 辛涛*. (2011). 认知诊断计算机化自适应测验中的项目增补. 心理学报, 43(7), 836–850.

[37] 陈平, 李珍, 辛涛*. (2011). 认知诊断计算机化自适应测验的题库使用均匀性初探. 心理与行为研究, 9(2), 125–132.

[38] 陈平, 李珍, 辛涛*, 高慧健. (2011). 标准参照测验决策一致性指标研究的总结与展望. 心理发展与教育, 27(2), 210–216.

[39] 陈平, 丁树良*. (2008). 允许检查并修改答案的计算机化自适应测验. 心理学报, 40(6), 737–747.

[40] 陈平, 丁树良*, 林海菁, 周婕. (2006). 等级反应模型下计算机化自适应测验选题策略. 心理学报, 38(3), 461–467.