Workshop 2: Longitudinal Data Analysis (In Chinese)
Time: 8pm-11pm, July 3, China Time / 8am-11am, July 3, US Eastern Time
Location： Virtual on Zoom (Free Registration)
Longitudinal Data Analysis (LDA) is a popular statistical method in various fields, including psychology, education, sociology, management, economics, and medicine. This workshop aims to provide participants with an overview of the applications and capabilities of LDA. Topics include: (a) introduction of longitudinal designs and longitudinal data, (b) latent growth curve models and growth mixed models, (c) cross-lagged panel models, (d) separating within- and between-person effects models, and (e) advances in LDA. The workshop will consist of lectures and software demonstrations using Mplus and R with practical examples.
追踪数据分析是一种在心理学、教育学、社会学、管理学、经济学和医学等领域非常流行的统计方法。工作坊旨在从应用研究者的角度，介绍追踪数据分析在实际研究中的应用以及可以回答的研究问题。主题包括：（a）追踪研究设计和追踪数据简介；（b）潜在增长曲线模型和混合增长模型；（c）交叉滞后面板模型；（d）分离个体内和个体间效应的模型以及（e）追踪数据分析方法新进展。工作坊将以实际应用案例为主线，讲解不同统计分析模型的应用和软件操作。主要用到的软件包括Mplus和R。
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Hongyun Liu -- Beijing Normal University
Dr. Hongyun Liu is a professor in Faculty of Psychology at Beijing Normal University and has been working on the research of quantitative psychology for nearly 20 years. Her main research areas are psychological statistics, the theory and applications of psychological and educational measurement, and quantitative research methods. Her research interests involve the Internet-based test development, the theory and application of educational and psychological assessment, data analysis methods in large-scale assessments, and longitudinal data analysis.
All Workshops
(1) Introduction to Social Network Analysis by Prof. Haiyan Liu from UC-Merced
(2) Longitudinal Data Analysis by Prof. Hongyun Liu from Beijing Normal University
(3) Practical Mediation Analysis by Prof. Laura Lu from University of Georgia and Prof. Qian Zhang from Florida State University
(4) Deep Learning Using R by Prof. Johnny Zhang from University of Notre Dame
(5) From Latent Class Model to Latent Transition Model Using Mplus by Prof. Hawjeng Chiou from National Taiwan Normal University
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Sponsors
The meeting is jointly supported by the International Society for Data Science and Analytics, the Society of Multivariate Experimental Psychology, the Fudan Institute for Advanced Study in Social Sciences, the College of Management of National Taiwan Normal University, and the Nanjing University of Posts and Telecommunications.
Sponsoring Journals
Selected papers will be published in the following journals: Fudan Journal of the Humanities and Social Sciences, Chinese Political Science Review, and Journal of Behavioral Data Science.
Organizers
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Hawjeng Chiou
Distinguished Professor
National Taiwan Normal University -
Karl Ho
Associate Professor
University of Texas at Dallas -
Hongyun Liu
Professor
Beijing Normal University -
Wen Qu
Research Fellow
Fudan University -
Jiashan Tang
Professor
Nanjing University of Posts and Telecommunications -
Ke-Hai Yuan
Professor
University of Notre Dame -
Zhiyong Zhang
Professor
University of Notre Dame
Contact information
Telephone: 1-574-400-5868
Email: meeting@isdsa.org
Mail: P.O.Box 1471, ISDSA, Granger, IN 46530