Book chapters

Computational Neuroscience and Cognitive Modelling (in Chinese)

I am translating this book (Anderson, 2014) with cooperators from PsychoR team and Capital of Statistics. I am responsible for the part of Neural Networks (chapter 9-13).

Advanced Psychometric Measurement and Latent Variable Modeling (in Chinese)

Prof. Pan and I completed the Bayesian Structural Equation Modeling chapter.


Journal articles

(peer reviewed, * indicates correspondent author)

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): 1-8.

Zhang, L.J., Lu, J.Q., Wei, X.Y., Pan, J.H.* (2019). Bayesian Structural Equation Modeling and its Current Research. Advances in Psychological Science (in Chinese), 27(11): 1812-1825. (the most cited journal in Chinese Psychology)


Manuscripts under Review and in Preparation

Chen, J.S.*, Guo, Z.H., Zhang, L.J., Pan, J.H.* (under review). A Partially Confirmatory Approach to Scale Development with the Bayesian Lasso. Psychological Methods.

Zhang, L.J., Wei, X.Y., Lu, J.Q., Pan, J.H.* (under review). Lasso Regression: From Explanation to Prediction. Advances in Psychological Science (in Chinese).

Feng, Q.Q., Song, Q.Y.(co-first author), Zhang, L.J., Pan, J.H.* (under review). Integration of Moderation and Mediation in a Latent Variable Framework: A Comparison of Estimation Methods. Frontiers in Psychology.

Sun, R.Q., Pan, J.H.*, Zhang, L.J. (manuscript drafted). Sample Size Determination Guidelines for Latent Mediation Model: A Monte Carlo Study.

Zhang, L.J., Pan, J.H.*, Ip, E.H.* (manuscript drafted). BLCFA: An R package for Bayesian Model Modification in Confirmatory Factor Analysis.

Zhang, L.J., Deng, Y.T., Zheng, S.F., Pan, J.H.* (manuscript drafted). How to Select Prior Variance in Bayesian Approximate Measurement Invariance ?


Talks

Zhang, L.J., Pan, J.H.*, Ip, E.H. (To be presented in July 2020). BLCFA: An R package for Bayesian Model Modification in Confirmatory Factor Analysis. International Meeting of the Psychometric Society, 14-17 July, Maryland. [abstract]

Chen, J.S.*, Guo, Z.H., Zhang, L.J., Pan, J.H. (To be presented in July 2020). A Partially Confirmatory Approach to Scale Development with the Bayesian Lasso. International Meeting of the Psychometric Society, 14-17 July, Maryland.

Zhang, L.J., Wei, X.Y., Lu, J.Q., Pan, J.H.* (2019). Lasso Regression: From Explanation to Prediction. The 22nd Chinese Academic Conference of Psychology, 18-20 October, Hangzhou. [abstract] [slide]

Song, Q.Y., Pan, J.H., Zhang, L.J. (2019). Bayesian Multiple-group Analysis: Approximate Measurement Invariance. The 22nd Chinese Academic Conference of Psychology, 18-20 October, Hangzhou.

Zhang, L.J., Lu, J.Q., Wei, X.Y., Pan, J.H.* (2019). Bayesian Structural Equation Modeling and its Current Research. The 22nd Chinese Academic Conference of Psychology, 18-20 October, Hangzhou. [abstract] [slide]

Zhang, L.J., Pan, J.H.* (2019, Excellent Presenter). How to Select Prior Variance in Bayesian Approximate Measurement Invariance ? The 22nd Chinese Academic Conference of Psychology, 18-20 October, Hangzhou.[slide]

Zhang, L.J., Pan, J.H.* (2019). How to Select Prior Variance in Bayesian Approximate Measurement Invariance ? The International Meeting of the Psychometric Society, 15-19 June, Santiago. [abstract] (accepted but wasn’t able to attend)

Zhang, L.J., Lu, J.Q., Wei, X.Y., Pan, J.H.* (2019, Invited). Bayesian Structural Equation Modeling and its Current Research. The 12th China-R Conference, 24-26 May, Beijing. [slide]

Zhang, L.J., Lu, J.Q., Wei, X.Y., Pan, J.H.* (2019). Bayesian Structural Equation Modeling and its Current Research. Weekly Forum of Psychology in Sun Yat-sen University, 20 November, Guangzhou.

Pan, J.H., Zhang, L.J., Ip, E.H.* (2018). Bayesian Lasso Factor Analysis Models with Ordered Categorical Data. The 13th Cross-Straits Conference on Educational and Psychological Testing, 22-25 October, Taiwan. [slide]

Pan, J.H., Zhang, L.J., Ip, E.H.* (2017). Bayesian Lasso Factor Analysis Models with Ordered Categorical Data. The 20th Chinese Academic Conference of Psychology, 3-5 November, Chongqing. [abstract]


Posters

Zhang, L.J., Lu, J.Q., Zhang, Y.N., Pan, J.H.* (2019). The Influence of Social Support on Career Decision-Making Difficulty: Bayesian Modeling Based on Longitudinal Data. The 22nd Chinese Academic Conference of Psychology, 18-20 October, Hangzhou. [abstract]

Zhang, L.J., Lu, J.Q., Zhang, Y.N., Pan, J.H.* (2018, Excellent Presenter). The Influence of Social Support on Career Decision-Making Difficulty: A Moderated Mediation Model. Psychology Academic Forum for the 21st Century, 24-26 March, Beijing. [poster]



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