Publications by Projects

Publications by ProjectsReviews about Bayesian Structural Equation Modeling (SEM) and Lasso MethodBayesian Lasso Confirmatory Factor Analysis (CFA) 1. Partial Confirmatory Approach to Scale Development 2. Bayesian Model Modification in CFAPrior Selection Guidelines in Bayesian Approximate Measurement Invariance Sample Size Determination Guidelines for SEMMethods Comparison in Moderated Mediation Analysis Compared the performance of SEM, exploratory SEM and Bayesian SEM in dealing with cross-loadingsCooperations with Applied ResearchersComputational Neuroscience and Cognitive Modelling

Reviews about Bayesian Structural Equation Modeling (SEM) and Lasso Method

[Book Chapter] Advanced Psychometric Measurement and Latent Variable Modeling (in Chinese)

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

Note: * indicates correspondent author, Advances in Psychological Science (in Chinese) is the most cited journal in Chinese Psychology.

[Journal Article] Zhang, L.J., Wei, X.Y., Lu, J.Q., Pan, J.H.* (accepted). Lasso Regression: From Explanation to Prediction. Advances in Psychological Science (in Chinese).

[Journal Article] 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.

[Talk] 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]

[Talk] 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.

[Talk] 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]

[Talk] 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]

[Talk] 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.

Bayesian Lasso Confirmatory Factor Analysis (CFA)

1. Partial Confirmatory Approach to Scale Development
2. Bayesian Model Modification in CFA

[Journal Article] 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. [2018 IF: 8.188]

[Journal Article] Pan, J.H., Zhang, L.J. (co-first author), Ip, E.H.* (manuscript drafted). BLCFA: An R Package for Bayesian Model Modification in Confirmatory Factor Analysis.

[Talk] 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, Online. [abstract]

[Talk] 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]

[Talk] 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]

[Software Development] Zhang, L.J., Pan, J.H., Ip, E.H. (2020). BLCFA: An R package for Bayesian Model Modification in Confirmatory Factor Analysis. Retrievable from https://github.com/zhanglj37/blcfa.

 

Prior Selection Guidelines in Bayesian Approximate Measurement Invariance

 

[Journal Article] Zhang, L.J., Deng, Y.T., Zheng, S.F., Pan, J.H.* (under review). Prior Selection Guidelines in Bayesian Approximate Measurement Invariance. Structural Equation Modeling: A Multidisciplinary Journal.

[Talk] 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]

[Talk] 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)

Sample Size Determination Guidelines for SEM

[Journal Article] Sun, R.Q., Zhang, L.J., Pan, J.H.* (under review). Sample Size Determination Guidelines for Latent Mediation Model: A Monte Carlo Study. Psychological Science

[Software Development] Zhang, L.J., Sun, R,Q., Pan, J.H. (2020). sampleMplus: An R Package for Sample Size Determination in Structural Equation Modeling. Retrievable from https://github.com/zhanglj37/sampleMplus.

Methods Comparison in Moderated Mediation Analysis

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

Compared the performance of SEM, exploratory SEM and Bayesian SEM in dealing with cross-loadings

[Journal Article] Wei, X.Y., Huang, J.S. (co-first author), Zhang, L.J., Pan, J.H.* (manuscript drafted). Evaluation and Comparison among SEM, ESEM and BSEM in Estimating Structural Models with Potentially Unknown Cross-loadings.

Cooperations with Applied Researchers

[Journal Article] 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. [2018 IF: 3.633]

[Poster] 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][poster]

[Poster] 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.

Computational Neuroscience and Cognitive Modelling