职　　称：副教授
研究方向：农村教育与教育统计
办公电话：0431-85098163
办公地点：田家炳楼422室

个人简历

工作经历 2021.03-今 东北师范大学 中国农村教育发展研究院 副教授，硕士生导师【专业：教育学原理（农村教育）】 2019.03-2021.03 东北师范大学 中国农村教育发展研究院 博士后 2016.09-2017.08 明尼苏达大学 心理系 研究助理 微信公众号：雪数圈 教育背景 2007.09-2011.07 哈尔滨工业大学 数学与应用数学 理学学士 2011.09-2013.07 东北师范大学 概率论与数理统计 硕博连读 2013.09-2018.06 东北师范大学 统计学 理学博士 2015.09-2017.08 明尼苏达大学 心理计量方法 访问学者 科研成果 SSCI & SCI检索论文 （*指通讯作者） 1. Zhang, X.*, & Wang, C. (2022). Modified Item-Fit Indices for Dichotomous IRT Models with Missing Data. Applied Psychological Measurement. DOI: 10.1177/01466216221125176 2. Zhang, X.*, Zhao, C., Xu, Y., Liu, S., & Wu, Z. (2021) Kernel causality among teacher self-efficacy, job satisfaction, school climate and workplace well-being and stress in TALIS. Frontiers in Psychology, 12:694961. DOI: 10.3389/fpsyg.2021.694961 3. Wang, J., Shi, N., Zhang, X.*, & Xu, G.* (2021) Sequential Gibbs sampling algorithm for cognitive diagnosis models with many attributes. Multivariate Behavioral Research. 4. Zhang, X.* & Wang, C. (2021). Measurement bias and error correction in a two-stage estimation for multilevel IRT models. British Journal of Mathematical and Statistical Psychology. DOI: 10.1111/BMSP.12233 5. Zhu, H., Gao, W., & Zhang, X.* (2021). Bayesian analysis of a quantile multilevel item response theory model. Frontiers in Psychology, 11:607731. DOI: 10.3389/fpsyg.2020.607731 6. Zhang, X. & Wang, J.* (2020). On the sequential hierarchical cognitive diagnostic model. Frontiers in Psychology, 11: 579018. DOI: 10.3389/fpsyg.2020.579018 7. Cho, A., Wang, C., Zhang, X., & Xu, G.* (2020). Gaussian variational estimation for multidimensional item response theory. British Journal of Mathematical and Statistical Psychology. DOI: 10.1111/bmsp.12219 8. Zhang, X.*, Wang, C., Weiss, D. J., & Tao, J. (2021). Bayesian Inference for IRT Models with Non-Normal Latent Trait Distributions. Multivariate Behavioral Research, 56: 5, 703-723. DOI: 10.1080/00273171.2020.1776096 9. Fu, Z.*, Zhang, X., & Tao, J. (2020). Gibbs sampling using the data augmentation scheme for higher-order item response models. Physica A: Statistical Mechanics and its Applications, 541: 123696. DOI: 10.1016/j.physa.2019.123696. 10. Wang, C.*, Xu, G-J., & Zhang, X. (2019). Correction for IRT measurement error in linear mixed effects models. Psychometrika, 84, 673-700. DOI: 10.1007/s11336-019-09672-7 11. Zhang, X.*, Wang, C., Tao, J.*, & Shi, N-Z. (2019). Bayesian model selection methods for multilevel IRT models: A comparison of five DIC-based indices. Journal of Educational Measurement, 56 (1), 3-27. DOI: 10.1111/jedm.12197 12. Jia, B., Zhang, X., & Zhu, Z-M.* (2019). A short note on aberrant response bias in Item Response Theory. Frontiers in Psychology, 10: 43. DOI: 10.3389/fpsyg.2019.00043 13. Meng, L-X.*, Zhang, J-W., Zhang, X., & Feng, G-Z. (2019). Bayesian estimation of time-varying parameters in ordinary differential equation models with noisy time-varying covariates. Communications in Statistics - Simulation and Computation, 1 - 16 DOI: 10.1080/03610918.2019.1565584. 14. Wang, C.* & Zhang, X.* (2018). A note on the conversion of item parameters standard errors. Multivariate Behavioral Research, 54:2, 307-321. DOI: 10.1080/00273171.2018.1513829. (Co-first-author & Co-corresponding-author) 15. Zhang, X., Wang, C., & Tao, J.* (2018) Assessing item-level fit for Higher Order Item Response Theory models. Applied Psychological Measurement, 42 (8), 644-659. DOI: 10.1177/0146621618762740 CSSCI检索论文 1. 秦田田,刘善槐,殷美娜,张雪.乡村振兴背景下学前教师编制标准研究[J].华东师范大学学报(教育科学版),2022,40(6):57-81. 2. 王涛,李梦琢,刘善槐,张雪.乡村振兴背景下农村幼儿教师离职倾向的影响机制研究——基于有调节的中介效应分析[J].华东师范大学学报(教育科学版),2022,40(6):82-96. 3. 刘善槐,张雪,朱秀红,霍明.指向科学决策的农村教育实证研究[J].华东师范大学学报(教育科学版),2020,38(09):103-118. 科研项目 1. 国家自然科学基金资助项目青年基金，12001092，潜在特质分布未知的多维项目反应理论的贝叶斯推断，2021.01-2023.12，主持。 2. 教育部人文社会科学研究一般项目青年基金，20YJC880124，义务教育高质量均衡发展测度与促进机制研究，2020.03-2022.09，主持。 3. 中央高校基本科研业务费资助项目，2412020QD004，非正态的多维项目反应理论的贝叶斯推断，2020.01-2021.12，主持。 4. 吉林省博士后科研人员择优资助，县域义务教育高质量均衡发展评价机制研究，2020年度，主持。 5. 中国博士后科学基金面上二等资助，2019M661194，基于项目反应理论的多维能力统计建模及估计，2019.11-2021.03，主持。 国际会议报告 1. Zhang, X., Wang, C, & David Weiss. (2023, July). Application of MCMC algorithm with Davidian curves in multidimensional IRT models. Paper presented at the 88th International Meeting of Psychometric Society (IMPS), College Park, US. 2. Zhang, X., Wang, C, & David Weiss. (2023, July). Bayesian inference for multidimensional IRT models with flexible distributions. Paper presented at the 2023 International Chinese Statistical Association (ICSA) China Conference, Chengdu, China. 3. 张雪，赵春阳. (2021年10月). 澳大利亚城乡教师特质的核因果对比研究——基于TALIS 2018数据. 乡村教育振兴的国际视野与本土行动——2021年农村教育国际学术研讨会，长春，中国. 4. Zhang, X., & Wang, C. (2019, July). Measurement bias and error correction in a two-stage estimation. Paper presented at the 84th International Meeting of Psychometric Society (IMPS), Santiago, Chile. 5. Zhang, X., & Wang, C. (2019, June). Assessing item-level fit within the multistage testing environment. Paper presented at the 2019 International Association of Computerized Adaptive Testing (IACAT) Conference "Advancing assessment through CAT", Minneapolis, US. AWARD: Presentation Travel Award 6. Zhang, X., & Wang, C. (2018, July). A modified S-X2 index for dichotomous IRT models with missing data. Paper presented at the 83rd International Meeting of Psychometric Society (IMPS), New York, US. 7. Zhang, X., Wang, C., & Tao, J. (2017, August). Item calibration method for computerized adaptive testing when the missing data mechanism is non-ignorable. Paper presented at the 2017 International Association of Computerized Adaptive Testing (IACAT) Conference "Advancing assessment through CAT", Niigata, Japan. 8. Zhang, X., Wang, C., Weiss, D., & Tao, J. (2017, July). Application of MCMC in IRT with flexible latent trait distributions. Poster presented at the 82nd International Meeting of Psychometric Society (IMPS), Zurich, Switzerland. AWARD: Honorable Mention for the Best Poster Award 9. Zhang, X., Wang, C., & Tao, J. (2017, April). An antedependence model for longitudinal item response data. Electronic board presented at the 2017 National Council on Measurement in Education (NCME), San Antonio, Texas, US. 10. Zhang, X., Wang, C., & Tao, J. (2016, July). Assessing item-level fit for the Higher-order IRT model. Paper presented at the 81st International Meeting of Psychometric Society (IMPS), Asheville, North Carolina, US. 11. Zhang, X., Wang, C., & Tao, J. (2016, April). New Bayesian model selection method for the multilevel IRT model. Paper presented at the 2016 National Council on Measurement in Education (NCME), Washington, D. C., US. 12. Zhang, X., & Tao, J. (2015, July). Comparison of Bayesian model selection methods for multi-level IRT models. Poster presented at the 80th International Meeting of Psychometric Society (IMPS), Beijing, China. 国际会议报告 1. 张雪(2022年10月). 度量教育高质量发展的模型建构研究. 第八届全国教育实证研究论坛，上海，中国. 专业服务 审稿人： 1. Applied Psychological Measurement 2. Educational and Psychological Measurement 3. Journal of Educational Measurement 4. Journal of Educational and Behavioral Statistic AWARD: Outstanding Reviewer Award for 2020 (AERA & ASA) 5. Multivariate Behavioral Research

社会兼职

获奖情况 （数据来源：科学技术处、社会科学处）

教学信息 

  • 本科生课程：
1. 《教育统计与SPSS应用》，专业基础课（荣誉课程），2021年秋，2022年秋。
2. 《教育研究方法 I》，专业主干课，2022年春，2023年春。
3. 《初等数学研究》，专业主干课，2019年秋，2020年秋。

研究生课程：
1. 《现代教育学原理导论》，公共选修课，2022年秋。

科研信息 

  • SSCI & SCI检索论文 （*指通讯作者）
1.	Zhang, X.*, & Wang, C. (2022). Modified Item-Fit Indices for Dichotomous IRT Models with Missing Data. Applied Psychological Measurement.  DOI: 10.1177/01466216221125176
2.	Zhang, X.*, Zhao, C., Xu, Y., Liu, S., & Wu, Z. (2021) Kernel causality among teacher self-efficacy, job satisfaction, school climate and workplace well-being and stress in TALIS. Frontiers in Psychology, 12:694961. DOI: 10.3389/fpsyg.2021.694961
3.	Wang, J., Shi, N., Zhang, X.*, & Xu, G.* (2021) Sequential Gibbs sampling algorithm for cognitive diagnosis models with many attributes. Multivariate Behavioral Research. 
4.	Zhang, X.* & Wang, C. (2021). Measurement bias and error correction in a two-stage estimation for multilevel IRT models. British Journal of Mathematical and Statistical Psychology. DOI: 10.1111/BMSP.12233   
5.	Zhu, H., Gao, W., & Zhang, X.* (2021). Bayesian analysis of a quantile multilevel item response theory model. Frontiers in Psychology, 11:607731. DOI: 10.3389/fpsyg.2020.607731
6.	Zhang, X. & Wang, J.* (2020). On the sequential hierarchical cognitive diagnostic model. Frontiers in Psychology, 11: 579018. DOI: 10.3389/fpsyg.2020.579018
7.	Cho, A., Wang, C., Zhang, X., & Xu, G.* (2020). Gaussian variational estimation for multidimensional item response theory. British Journal of Mathematical and Statistical Psychology. DOI: 10.1111/bmsp.12219
8.	Zhang, X.*, Wang, C., Weiss, D. J., & Tao, J. (2021). Bayesian Inference for IRT Models with Non-Normal Latent Trait Distributions. Multivariate Behavioral Research, 56: 5, 703-723. DOI: 10.1080/00273171.2020.1776096 
9.	Fu, Z.*, Zhang, X., & Tao, J. (2020). Gibbs sampling using the data augmentation scheme for higher-order item response models. Physica A: Statistical Mechanics and its Applications, 541: 123696. DOI: 10.1016/j.physa.2019.123696.
10.	Wang, C.*, Xu, G-J., & Zhang, X. (2019). Correction for IRT measurement error in linear mixed effects models. Psychometrika, 84, 673-700. DOI: 10.1007/s11336-019-09672-7
11.	Zhang, X.*, Wang, C., Tao, J.*, & Shi, N-Z. (2019). Bayesian model selection methods for multilevel IRT models: A comparison of five DIC-based indices. Journal of Educational Measurement, 56 (1), 3-27. DOI: 10.1111/jedm.12197
12.	Jia, B., Zhang, X., & Zhu, Z-M.* (2019). A short note on aberrant response bias in Item Response Theory. Frontiers in Psychology, 10: 43. DOI: 10.3389/fpsyg.2019.00043
13.	Meng, L-X.*, Zhang, J-W., Zhang, X., & Feng, G-Z. (2019). Bayesian estimation of time-varying parameters in ordinary differential equation models with noisy time-varying covariates. Communications in Statistics - Simulation and Computation, 1 - 16 DOI: 10.1080/03610918.2019.1565584.
14.	Wang, C.* & Zhang, X.* (2018). A note on the conversion of item parameters standard 
errors. Multivariate Behavioral Research, 54:2, 307-321. DOI: 10.1080/00273171.2018.1513829. 
(Co-first-author & Co-corresponding-author)
15.	Zhang, X., Wang, C., & Tao, J.* (2018) Assessing item-level fit for Higher Order Item Response Theory models. Applied Psychological Measurement, 42 (8), 644-659. DOI: 10.1177/0146621618762740
CSSCI检索论文
1.	秦田田,刘善槐,殷美娜,张雪.乡村振兴背景下学前教师编制标准研究[J].华东师范大学学报(教育科学版),2022,40(6):57-81.
2.	王涛,李梦琢,刘善槐,张雪.乡村振兴背景下农村幼儿教师离职倾向的影响机制研究——基于有调节的中介效应分析[J].华东师范大学学报(教育科学版),2022,40(6):82-96.
3.	刘善槐,张雪,朱秀红,霍明.指向科学决策的农村教育实证研究[J].华东师范大学学报(教育科学版),2020,38(09):103-118.

科研项目
1.	国家自然科学基金资助项目青年基金，12001092，潜在特质分布未知的多维项目反应理论的贝叶斯推断，2021.01-2023.12，主持。
2.	教育部人文社会科学研究一般项目青年基金，20YJC880124，义务教育高质量均衡发展测度与促进机制研究，2020.03-2022.09，主持。
3.	中央高校基本科研业务费资助项目，2412020QD004，非正态的多维项目反应理论的贝叶斯推断，2020.01-2021.12，主持。
4.	吉林省博士后科研人员择优资助，县域义务教育高质量均衡发展评价机制研究，2020年度，主持。
5.	中国博士后科学基金面上二等资助，2019M661194，基于项目反应理论的多维能力统计建模及估计，2019.11-2021.03，主持。

国际会议报告
1.	Zhang, X., Wang, C, & David Weiss. (2023, July). Application of MCMC algorithm with Davidian curves in multidimensional IRT models. Paper presented at the 88th International Meeting of Psychometric Society (IMPS), College Park, US.
2.	Zhang, X., Wang, C, & David Weiss. (2023, July). Bayesian inference for multidimensional IRT models with flexible distributions. Paper presented at the 2023 International Chinese Statistical Association (ICSA) China Conference, Chengdu, China.
3.	张雪，赵春阳. (2021年10月). 澳大利亚城乡教师特质的核因果对比研究——基于TALIS 2018数据. 乡村教育振兴的国际视野与本土行动——2021年农村教育国际学术研讨会，长春，中国.
4.	Zhang, X., & Wang, C. (2019, July). Measurement bias and error correction in a two-stage estimation. Paper presented at the 84th International Meeting of Psychometric Society (IMPS), Santiago, Chile. 
5.	Zhang, X., & Wang, C. (2019, June). Assessing item-level fit within the multistage testing environment. Paper presented at the 2019 International Association of Computerized Adaptive Testing (IACAT) Conference "Advancing assessment through CAT", Minneapolis, US.
6.	Zhang, X., & Wang, C. (2018, July). A modified S-X2 index for dichotomous IRT models with missing data. Paper presented at the 83rd International Meeting of Psychometric Society (IMPS), New York, US.
7.	Zhang, X., Wang, C., & Tao, J. (2017, August). Item calibration method for computerized adaptive testing when the missing data mechanism is non-ignorable. Paper presented at the 2017 International Association of Computerized Adaptive Testing (IACAT) Conference "Advancing assessment through CAT", Niigata, Japan.
8.	Zhang, X., Wang, C., Weiss, D., & Tao, J. (2017, July). Application of MCMC in IRT with flexible latent trait distributions. Poster presented at the 82nd International Meeting of Psychometric Society (IMPS), Zurich, Switzerland.
9.	Zhang, X., Wang, C., & Tao, J. (2017, April). An antedependence model for longitudinal item response data. Electronic board presented at the 2017 National Council on Measurement in Education (NCME), San Antonio, Texas, US.
10.	Zhang, X., Wang, C., & Tao, J. (2016, July). Assessing item-level fit for the Higher-order IRT model. Paper presented at the 81st International Meeting of Psychometric Society (IMPS), Asheville, North Carolina, US.
11.	Zhang, X., Wang, C., & Tao, J. (2016, April). New Bayesian model selection method for the multilevel IRT model. Paper presented at the 2016 National Council on Measurement in Education (NCME), Washington, D. C., US.
12.	Zhang, X., & Tao, J. (2015, July). Comparison of Bayesian model selection methods for multi-level IRT models. Poster presented at the 80th International Meeting of Psychometric Society (IMPS), Beijing, China.

国际会议报告
1.	张雪(2022年10月). 度量教育高质量发展的模型建构研究. 第八届全国教育实证研究论坛，上海，中国.
暂停信息维护