Topic: Causal reasoning and analysis in empirical research
Lecturer：Professor Wen Zhonglin ---- South China Normal University
Moderator：Professor Li Wenyong ---- School of Business Administration
Time：June 12nd ,2020. 19:30 (GMT+8)
Live Broadcast Via Tencent Meeting ID:695 526 203
(International Platform: VOOV Meeting ID:695 526 203)
Host: School of Business Administration, SWUFE Science Research Department
About the Lecturer:
Wen Zhonglin, second-class Professor of South China Normal University, Ph.D supervisor in Quantitative Psychology, editorial board member of Journal of Psychology and Psychological Science. He has a Ph.D. in the Department of Educational Psychology of the Chinese University of Hong Kong. He has carried out cooperative research in Oxford University, Western Sydney University and other universities. He has presided over three National Natural Science Foundation projects, one major project and one key project of the Ministry of Education. There are a series of research results on Structural Equation Model, Mediating Effect and Moderating Effect, especially the analysis method of Latent Variable Interaction Effect. He has published more than 140 papers and 9 works domestically and abroad, which are widely cited in psychology and other social science fields. He has won the best research achievement award of the Research Institute of the Chinese University of Hong Kong, the first prize of outstanding achievements in philosophy and social sciences of Guangdong Province (twice), the second prize of excellent achievements in National Educational Science Research, and the first prize of excellent achievements in Humanities and Social Sciences Research of colleges and Universities.
About the Lecture:
Empirical research papers in psychological journals often test the causal relationship among variables, but there are some different views on causal research in the academic circles. The speaker tried to answer the following questions: (1) Can the variables that are beyond manipulation in the experiment be used as the reason? (2) Can non-experimental studies test causal relationships? (3) Is causal analysis (especially mediation analysis) necessary to use tracking data? What is the main purpose of tracking design? Around the above, the speaker will share some arguments and arguments that subvert traditional textbooks.