Journal Articles


In English (* indicates corresponding author, # indicates student)


  1. *Chen, J.S., Guo, Z.H., #Zhang, L.J., *Pan, J.H. (accepted). A Partially Confirmatory Approach to Scale Development with the Bayesian Lasso. Psychological Methods.
  2. Pan, J.H, *Ip, H.S. and Dube, L. (2019) Multilevel Heterogeneous Factor Analysis and Application to Ecological Momentary Assessment. PsychometrikaDOI: 10.1007/s11336-019-09691-4.
  3. Zhou, H., Wang, Y.Y., Ding, J.H., Wang, Y., and *Pan, J.H. (2019) Development and Validation of an Age-Appropriate Self-Compassionate Reactions Scale for Children (SCRS-C).  Mindfulness, 10(11), 2439-2451. DOI: 10.1007/s12671-019-01220-9.
  4. Pan, J.H., #Liang, Y.Y. (co-first author), Zhou, H. and *Wang, Y.Y. (2019) Mindful Parenting Assessed in Mainland China: Psychometric Properties of the Chines Version of the Interpersonal Mindfulness in Parenting Scale. Mindfulness, 10(8), 1629-1641. DOI: 10.1007/s12671-019-01122-w.
  5. Cai, J.H., Liang, Z.B., #Sun, R.Q., Liang, C.Y. and *Pan, J.H. (2019) Bayesian Analysis of Latent Markov Models with Non-ignorable Missing Data. Journal of Applied Statistics, 46(13), 2299-2313.
  6. Sun, S.S., Hu, C.L., *Pan, J.H., *Liu, C.Y. and *Huang, M.E. (2019) Trait Mindfulness is Associated with the Self-similarity of Heart Rate Variability. Frontiers in Psychology, 10, Article 314.
  7. Wang, Y.Y., #Liang, Y.Y., Fan, L.L., Lin, K.X., Xie, X.L., *Pan, J.H. and *Zhou, H. (2018) The Indirect Path From Mindful Parenting to Emotional Problems in Adolescents: The Role of Maternal Warmth and Adolescents’ Mindfulness. Frontiers in Psychology, 9, Article 546.
  8. Pan, J.H., Zhan, L.Y. (co-first author), Hu, C.L. (co-first author), Yang, J.K., Wang, C., Gu, L., Zhong, S.Q., Huang, Y.Y., Wu, Q., Xie, X.L., Chen, Q.J., Zhou, H., *Huang, M.E. and *Wu, X. (2018) Emotion Regulation and Complex Brain Networks: Association Between Expressive Suppression and Efficiency in the Fronto-Parietal Network and Default-Mode Network. Frontiers in Human Neuroscience, 12, Article 70.
  9. Pan, J.H, *Ip, H.S. and Dube, L. (2017) An Alternative to Post Hoc Model Modification in Confirmatory Factor Analysis: The Bayesian Lasso. Psychological Methods, 22(4), 687-704.
  10. Li, T.N., Liu, X.G. (co-first author), Pan, J.H. (co-first author), and *Zhou, G.M. (2017). The Interactive Effect of Facial Appearance and Behavior Statement on Trust Belief and Trust Behavior. Personality and Individual Difference, 117, 60-65.
  11. Li, T.B., Wang, X.Q., Pan, J.H., Feng, S.Y., Gong, M.Y., Wu, Y.X., Li, G.X., Li, S. and *Yi, L. (2017). Reward Learning Modulates the Attentional Processing of Faces in Children with and without Autism Spectrum Disorder. Autism Research, 10, 1797-1807.
  12. Zhang, Q., *Ip, H.S., Pan, J.H. and Plemmons, R. (2017) Individual-Specific, Sparse Inverse Covariance Estimation in Generalized Estimating Equations. Statistics and Probability Letters, 122, 96-103.
  13. Lu, J., Pan, J.H., Zhang, Q., Dube, L. and *Ip, H.S. (2015) Reciprocal Markov Modeling of Feedback Mechanisms between Emotion and Dietary Choice Using Experience Sampling Data. Multivariate Behavioral Research50, 584-599.
  14. Wang, Y.Y., Pan, J.H., Zhang, X.J. and *Yi, C.L. (2015) The Association between Family Factors and Child Behavior Problems: Using Dyadic Data. Child: Care, Health & Development, 41(6), 1082-1089.
  15. *Wu, X., Westanmo, A., Zhou, L. and Pan, J.H. (2013) Serial Binary Interval Ratios Improve Rhythm Reproduction. Frontiers in Psychology, 4: Article 512, 1-13.
  16. *Yi, L., Pan, J.H., Fan, Y., Zou, X., Wang, X. and *Lee, K. (2013) Children with Autism Spectrum Disorder are More Trusting than Typically Developing Children.  Journal of Experimental Child Psychology, 116(3), 755-761.
  17. Pan, J.H., *Song, X.Y. and Ip, H.S. (2013) A Bayesian Analysis of Generalized Latent Curve Mixture Models. Statistics and Its Interface, 6, 27-44.
  18. Li, Y.X., Kano, Y., *Pan, J.H. and Song, X.Y. (2012) A Criterion-based Model Comparison Statistic for Structural Equation Models with Heterogeneous Data. Journal of Multivariate Analysis, 112, 92-107.
  19. Kwok, T., *Pan, J.H., Lo, R. and Song, X.Y. (2011) The Influence of Participation on Health Related Quality of Life in Stroke Patients. Disability and Rehabilitation, 33, 1990-1996.
  20. Song, X.Y., Xia, Y.M., Pan, J.H. and *Lee, S.Y. (2011) Model Comparison of Bayesian Semiparametric and Parametric Structural Equation Models. Structural Equation Modeling - A Multidisciplinary Journal, 18(1), 55-72.
  21. *Song, X.Y., Pan, J.H., Kwok, T., Vandenput, L. and Leung, P.C. (2010) A Semiparametric Bayesian Approach for Structural Equation Models. Biometrical Journal, 52(3), 314-332.
  22. Pan, J.H., Song, X.Y. and *Kwok, T. (2009) Application of Latent Curve Models in Medical Research: A Review. European Neurological Review, 4, 52-56.
  23. Pan, J.H., Song, X.Y., Lee, S.Y. and *Kwok, T. (2008) Longitudinal Analysis of Quality of Life for Stroke Survivors Using Latent Curve Models. Stroke, 39, 2795-2802.

In Chinese


  1. #张沥今, #魏夏琰, #陆嘉琦, *潘俊豪.(已接收). Lasso回归:从解释到预测. 心理科学进展.
  2. #宋琼雅, #张沥今, *潘俊豪.(已接收). 贝叶斯多组比较:渐近测量不变性. 心理学探新.
  3. #张沥今, #陆嘉琦, #魏夏琰, *潘俊豪.(2019). 贝叶斯结构方程模型及其研究现状. 心理科学进展,27(11): 1812-1825.
  4. 万丽红, 潘俊豪, 张小培, 阮恒芳, 李玲, *陈少贤.(2017). 健康信念在高血压合并脑卒中患者健康知识与健康行为间的中介效应. 中华行为医学与脑科学杂志, 26(9): 847-851.
  5. #冯青青, 周晖, #梁意颖, *潘俊豪.(2017). 基于行动者-对象相互依赖模型探究牺牲动机对亲密关系满意度的影响. 心理科学,40(4): 975-982.
  6. *庞琴, #梁意颖, 潘俊豪. (2017). 中国的经济影响与东亚国家民众对华评价-经济受惠度与发展主义的调节效应分析. 世界经济与政治, 2: 130-154.
  7. 陈颖媛, *邹智敏, 潘俊豪. (2017).资质过剩感影响组织公民行为的情绪路径. 心理学报, 49(1): 72-82.
  8. 万丽红, 熊小妮, 潘俊豪, 张小培, 李玲, 吴婵婵, *陈少贤. (2017).脑卒中患者健康行为量表的编制及信效度检验. 护理学杂志, 32(1): 25-29.
  9. 万丽红, 张小培, 潘俊豪, 莫苗苗, 熊小妮, 卢玉为, *陈少贤.(2017).脑卒中患者健康信念简表的信效度检验. 中华疾病控制杂志, 21(3): 303-307.
  10. 王雨吟, #林锦婵, *潘俊豪 (2015). 个体认知-抑郁模型: 自我怜悯、完美主义、反刍思维和抑郁的关系. 中国临床心理学杂志, 23(1): 120-123.

Book


  1.  蔡敬衡, 潘俊豪,周影辉 (2011). 《结构方程模型: 贝叶斯方法》, 高等教育出版社。(译著)

Software


  1. Pan, J.H., #Zhang, L.J., & Ip, H.S. (2020). blcfa: An R Package for Bayesian Model Modification in Confirmatory Factor Analysis. Retrievable from https://github.com/zhanglj37/blcfa.