潘俊豪

    潘俊豪，中山大学心理学系教授，中国教育学会教育统计与测量分会理事，广东省现场统计学会常务理事，《心理科学》、《应用心理学》、Journal of Pacific Rim Psychology编委。2005年本科毕业于中山大学统计科学系统计学专业（本科第一专业）和中山大学计算机科学系计算机科学与技术专业（本科第二专业），2009年获得香港中文大学统计学博士学位（直博），同年以“中山大学百人计划”人才引进进入心理学系任教。2014年入选广东省高等学校“千百十工程”第八批校级培养对象，主持并完成多项国家级和校级科研项目。2020年获得教育部第八届高等学校科学研究优秀成果奖（人文社会科学）-青年成果奖。

      至今发表学术论文超过40篇，其中《An Alternative to Post Hoc Model Modification in Confirmatory Factor Analysis: The Bayesian Lasso》一文发表于心理学研究方法领域顶级期刊Psychological Methods（SSCI收录，2019年影响因子8.430，5年影响因子9.678），为中山大学心理学系教师在该刊发表的第一篇第一作者论文。另外，合作翻译并出版了《结构方程模型: 贝叶斯方法》一书。

      担任British Journal of Mathematical and Statistical Psychology, Computational Statistics & Data Analysis, Multivariate Behavioral Research, Psychometrika, Statistics in Medicine, Structural Equation Modeling: A Multidisciplinary Journal, 心理学报, 心理科学, 心理科学进展等国内外著名学术期刊审稿专家。

• 潜变量模型统计分析方法的改进与发展，及其在心理学（特别是发展心理学、临床心理学、健康心理学）等领域的应用；
• 贝叶斯结构方程模型；
• 贝叶斯正则化方法与潜变量模型的结合；
• 贝叶斯框架下密集追踪数据的分析等。

• 2005年8月-2009年7月：统计学哲学博士，香港中文大学理学院统计系（直博）
• 2001年9月-2005年7月：理学学士，中山大学数学与计算科学学院统计科学系统计学专业（本科第一专业）
• 2003年9月-2005年7月：理学学士，中山大学信息科学与技术学院计算机科学系计算机科学与技术专业（本科第二专业）

• 2021年2月至今：             教授，中山大学心理学系
• 2015年1月-2021年1月：  副教授，中山大学心理学系
• 2014年1月-2014年12月：国家公派访问学者，美国埃默里大学生物医学工程系
• 2009年7月-2015年1月：  讲师，中山大学心理学系，中山大学“百人计划”人才引进

•2023年10月-2026年10月
教育部人文社会科学研究规划基金项目：潜变量动态中介模型的贝叶斯分析及其在心理学研究中的应用（项目批准号：23YJA190007），项目负责人。

•2022年1月-2024年12月 广东省自然科学基金项目（面上项目）：贝叶斯正则化框架下的结构方程建模：方法的比较与应用（项目批准号: 2022A1515010367），项目负责人。

• 2024年1月-2026年12月
中山大学高校基本科研业务费创新人才培育计划项目（领军人才培育项目）：贝叶斯正则化结构方程模型研究：统计推断、先验选择和预测能力量化，项目负责人。

• 2024年7月-2026年7月
教育部高等学校心理学类专业教学指导委员教育教学改革项目：以培养学生科研和创新能力为目标的项目驱动式教学改革与实践：以《结构方程》课程为试点，项目负责人。

#Chen, Q.J., Su, K., #Feng, Y.L., #Zhang, L.J., Ding, R.Y., & *Pan, J.H. (2024). A Tutorial on Bayesian Structural Equation Modelling: Principles and Applications. International Journal of Psychology. Advance online publication. 

Jiang, Z.H., Ouyang, J.Y., Shi, D.X., *Pan, J.H., Xu, L.L., *Cai, F. (2024) Forming Intervals of Predicted Total Scores for Cut-off Scores Evaluation: a Generalizability Theory Application with Bootstrapping. Current Psychology, 43, 27778-27792.

#Feng, Y.L. & *Pan, J.H. (2024). How Does Prior Distribution Affect Model Fit Indices of Bayesian Structural Equation Model? Fudan Journal of the Humanities and Social Sciences. Advance online publication.

Ding, R.Y., He, W., Liu, T., *Pan, J.H. & *Wang, Q. (2024). Children's Interpretations of Parental Responses to Children's Negative Emotions in Chinese Urban and Rural Communities. Social Development, 33(2), e12723.

Ding, R.Y., Wang, S.S., Liu, J., *He, W., & *Pan, J.H. (2023). Maternal Supportive Responses to Adolescents' Negative Emotions Serve as Protective Factors for Adolescents' Hostile Attribution Bias Longitudinally. Family Process, 63(3), 1531-1550.

Chen, J.L., Qiao, X.Y., Pan, J.H., Zhao, J.B., Li, H.Q., Cheng, Y.H., Liu, J.J., Zhang, N., & *Tao, Y. (2024). Network of Depressive Symptoms Before and After a Diagnosis of Chronic Kidney Disease. Health Psychology, 43(2), 132-141.

Gu, X., Zhu, X., #Zhang, L.J., & *Pan, J.H. (2023). Testing Informative Hypotheses in Factor Analysis Models Using Bayes Factors. Psychological Methods, Advance online publication.

#Zheng, S.F., #Zhang, L.J., Jiang, Z.H., & *Pan, J.H. (2023). The Influence of Using Inaccurate Priors on Bayesian Multilevel Estimation. Structural Equation Modeling: A Multidisciplinary Journal, 30(3), 429-448.

*Lucas, A.R., Pan, J.H., Ip, E.H., Hall, D.L., Tooze, J.A., Levine, B., Mohr, D.C., Penedo, F.J., Cella, D. & Wanger, L.I. (2022). Validation of the Lee‐Jones Theoretical Model of Fear of Cancer Recurrence among Breast Cancer Survivors using a Structural Equation Modeling Approach. Psycho-Oncology, 32(2), 256-265.

Pan, D., Song, X.Y., & *Pan, J.H. (2022). Joint Analysis of Multivariate Failure Time Data with Latent Variables. Statistical Methods in Medical Research,  31(7), 1292-1312.

#Wei, X.Y., Huang, J.S. (co-first author), #Zhang, L.J., *Pan, D., & *Pan, J.H. (2022). Evaluation and Comparison of SEM, ESEM and BSEM in Estimating Structural Models with Potentially Unknown Cross-loadings. Structural Equation Modeling: A Multidisciplinary Journal, 29(3), 327-338.

#Zhang, L.J., *Pan, J.H., & Ip, E.H. (2021). Criteria for Parameter Identification in Bayesian Lasso Methods for Covariance Analysis: Comparing Rules for Thresholding, p-value, and Credible Interval. Structural Equation Modeling: A Multidisciplinary Journal, 28(6), 941-950.

#Zhang, L.J., *Pan, J.H., Dubé, L., & Ip, E.H. (2021). blcfa: An R Package for Bayesian Model Modification in Confirmatory Factor Analysis. Structural Equation Modeling: A Multidisciplinary Journal, 28(4), 649-658.

Liu, X.G., Zhang, C.H., Wang, X.L., Feng, X.R., Pan, J.H., & *Zhou, G.M. (accepted). Trait/Financial Information of Potential Male Mate Eliminates Mate-Choice Copying by Women: Trade-Of Between Social Information and Personal Information in Mate Selection. Archives of Sexual Behavior.

Zheng, R.Y., Ren, D.Y., Xie, C.Y., Pan, J.H., & *Zhou, G.M. (2021). Normality Mediates the Effect of Symmetry on Facial Attractiveness. Acta Psychologica, 217, Article 103311.

*Chen, J.S., Guo, Z.H., #Zhang, L.J., & *Pan, J.H. (2021). A Partially Confirmatory Approach to Scale Development with the Bayesian Lasso. Psychological Methods, 26(2), 210-235.

Pan, J.H, *Ip, H.S., & Dubé, L. (2020) Multilevel Heterogeneous Factor Analysis and Application to Ecological Momentary Assessment. Psychometrika, 85(1), 75-100. 

#Feng, Q.Q., #Song, Q.Y. (co-first author), #Zhang, L.J. (co-first author), #Zheng, S.F., & *Pan, J.H. (2020). Integration of Moderation and Mediation in a Latent Variable Framework: A Comparison of Estimation Approaches for the Second-stage Moderated Mediation Model. Frontiers in Psychology, 11: 2167.

Zhang, X.P., Pan, J.H., *Wan, L.H., Liu, Z.Y., Mo, M.M., Wang, M.Y., & Li, Y.Y. (2020). Factors Influencing Health Behaviour, Blood Pressure Control, and Disability in Hypertensive Ischaemic Stroke Patients After a Comprehensive Reminder Intervention. Journal of Advanced Nursing, 76, 1384-1393. 

Liu, S.J., Pan, J.H., Tang, K., Lei, Q.F., He, L., Meng, Y.Y., Cai, X.D. & *Li, Z. (2020). Sleep Spindles, K-complexes, Limb Movements and Sleep Stage Proportions May be Biomarkers for Amnestic Mild Cognitive Impairment and Alzheimer's Disease. Sleep and Breathing, 24, 637-651.

Liu, S.J., Huang, Z.Z, #Zhang, L.J., Pan, J.H., Lei, Q.F., Meng, Y.Y., & *Li, Z. (2020). Plasma Neurofilament Light Chain may be a Biomarker for the Inverse Association between Cancers and Neurodegenerative Diseases. Frontiers in Aging Neuroscience, 12:10.

Zhou, H., Wang, Y.Y., Ding, J.H., Wang, Y., & *Pan, J.H. (2019). Development and Validation of an Age-Appropriate Self-Compassionate Reactions Scale for Children (SCRS-C).  Mindfulness, 10(11), 2439-2451. 

Pan, J.H., #Liang, Y.Y. (co-first author), Zhou, H., & *Wang, Y.Y. (2019). Mindful Parenting Assessed in Mainland China: Psychometric Properties of the Chinese Version of the Interpersonal Mindfulness in Parenting Scale. Mindfulness, 10(8), 1629-1641. 

Cai, J.H., Liang, Z.B., #Sun, R.Q., Liang, C.Y., & *Pan, J.H. (2019). Bayesian Analysis of Latent Markov Models with Non-ignorable Missing Data. Journal of Applied Statistics, 46(13), 2299-2313.

Sun, S.S., Hu, C.L., *Pan, J.H., *Liu, C.Y., & *Huang, M.E. (2019). Trait Mindfulness is Associated with the Self-similarity of Heart Rate Variability. Frontiers in Psychology, 10: 314.

Wang, Y.Y., #Liang, Y.Y., Fan, L.L., Lin, K.X., Xie, X.L., *Pan, J.H., & *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.

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., & *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: 70. 

Yeung, R. O., Cai, J. H., Zhang, Y. Y. Luk, A. O., Pan, J. H., Yin, J. M., Ozaki, R., Kong, A. P. S., Ma, R. C. W., So, W. Y., Tsang, C. C., Lau, K. P., Fisher, E., Goggins, W., Oldenburg, B. & *Chan, J. C. N. (2018). Determinants of Hospitalization in Chinese Patients with Type 2 Diabetes Receiving a Peer Support Intervention and JADE Integrated Care: the PEARL Randomised Controlled Trial. Clinical Diabetes and Endocrinology, 4:5.

Pan, J.H, *Ip, H.S., & Dubé, L. (2017). An Alternative to Post Hoc Model Modification in Confirmatory Factor Analysis: The Bayesian Lasso. Psychological Methods, 22(4), 687-704. (教育部第八届高等学校科学研究优秀成果奖（人文社会科学）-青年成果奖) 

Li, T.N., Liu, X.G. (co-first author), Pan, J.H. (co-first author), & *Zhou, G.M. (2017). The Interactive Effect of Facial Appearance and Behavior Statement on Trust Belief and Trust Behavior. Personality and Individual Differences, 117, 60-65.

Li, T.B., Wang, X.Q., Pan, J.H., Feng, S.Y., Gong, M.Y., Wu, Y.X., Li, G.X., Li, S., & *Yi, L. (2017). Reward Learning Modulates the Attentional Processing of Faces in Children with and without Autism Spectrum Disorder. Autism Research, 10, 1797-1807.

Zhang, Q., *Ip, H.S., Pan, J.H., & Plemmons, R. (2017). Individual-Specific, Sparse Inverse Covariance Estimation in Generalized Estimating Equations. Statistics and Probability Letters, 122, 96-103.

Lu, J., Pan, J.H., Zhang, Q., Dubé, L., & *Ip, H.S. (2015). Reciprocal Markov Modeling of Feedback Mechanisms between Emotion and Dietary Choice Using Experience Sampling Data. Multivariate Behavioral Research, 50, 584-599. 

Wang, Y.Y., Pan, J.H., Zhang, X.J., & *Yi, C.L. (2015). The Association between Family Factors and Child Behavior Problems: Using Dyadic Data. Child: Care, Health & Development, 41(6), 1082-1089.

*Wu, X., Westanmo, A., Zhou, L., & Pan, J.H. (2013). Serial Binary Interval Ratios Improve Rhythm Reproduction. Frontiers in Psychology, 4: 512.

*Yi, L., Pan, J.H., Fan, Y., Zou, X., Wang, X., & *Lee, K. (2013). Children with Autism Spectrum Disorder are More Trusting than Typically Developing Children.  Journal of Experimental Child Psychology, 116(3), 755-761. 

Pan, J.H., *Song, X.Y., & Ip, H.S. (2013). A Bayesian Analysis of Generalized Latent Curve Mixture Models. Statistics and Its Interface, 6, 27-44.

Li, Y.X., Kano, Y., *Pan, J.H., & Song, X.Y. (2012). A Criterion-based Model Comparison Statistic for Structural Equation Models with Heterogeneous Data. Journal of Multivariate Analysis, 112, 92-107. 

Kwok, T., *Pan, J.H., Lo, R., & Song, X.Y. (2011). The Influence of Participation on Health Related Quality of Life in Stroke Patients. Disability and Rehabilitation, 33, 1990-1996.

Song, X.Y., Xia, Y.M., Pan, J.H., & *Lee, S.Y. (2011). Model Comparison of Bayesian Semiparametric and Parametric Structural Equation Models. Structural Equation Modeling - A Multidisciplinary Journal, 18(1), 55-72. 

*Song, X.Y., Pan, J.H., Kwok, T., Vandenput, L., & Leung, P.C. (2010). A Semiparametric Bayesian Approach for Structural Equation Models. Biometrical Journal, 52(3), 314-332. 

Pan, J.H., Song, X.Y., & *Kwok, T. (2009). Application of Latent Curve Models in Medical Research: A Review. European Neurological Review, 4, 52-56.

Pan, J.H., Song, X.Y., Lee, S.Y., & *Kwok, T. (2008). Longitudinal Analysis of Quality of Life for Stroke Survivors Using Latent Curve Models. Stroke, 39, 2795-2802.

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