🎉Hi, my name is Zhiliang Lin (林志良🔈 listen). I am a quantitative researcher who loves using statistical and computational methods to understand social science issues.
I am currently undertaking a Subsequent Master of Science in Statistical Data Analysis at Ghent University to improve my knowledge of advanced quantitative methods. I have six years of work experience, including working as a Teaching Associate at Guangzhou Nanfang College and a Research Associate at Shenzhen University. I have a B.A. in Journalism from the Southwestern University of Finance and Economics and an M.A. in Communication from Jinan University.
Outside of academia, I enjoy reading, running, gardening, and football. And I’m a big fan of the Chinese classic novel The Story of the Stone and the football club Bayern Munich.
M.Sc. in Statistical Data Analysis , 2026
Ghent University
M.A. in Communication, 2019
Jinan University
B.A. in Journalism (Financial Journalism), 2015
Southwestern University of Finance and Economics
Guangchao Charles Feng., Xianglin Su., Zhiliang Lin., Yiru He., Nan Luo., & Yuting Zhang. (2021). Determinants of technology acceptance: Two modeling-based meta-analytic reviews. Journalism & Mass Communication Quarterly, 98 (1), 83-104.
Guangchao Charles Feng., Zhiliang Lin., Xianglin Su., & Wanhua Ou. (2021). A Model-based Meta-analysis of Willingness to Participate in Cancer Screening. International Journal of Environmental Research and Public Health, 18(5), 2580.
Guangchao Charles Feng., Yuting Zhang., & Zhiliang Lin. (2019). A Meta-Analysis of the Effects of Sociodemographic Factors on the Social Media Adoption. International Journal of Communication, 13, 1996–2025.
(in Chinese) Zhiliang Lin. (2019). Your friends matter: A mediation model of Wechat use and school identity. New Media Research, 06, 17-22
Courses I have taught as an instructor
While working at Guangzhou Nanfang College, I have taught the following courses. Sample materials can be found on the linked GitHub repositories:
The course covers statistical concepts from descriptive statistics to regression analysis. Students are taught to use Excel, SPSS and Python to learn and practice statistics.
This is a tool-oriented course, students are taught to analyze new media data using Excel functions, Power Query and Power Pivot.
Starting from using simple tools, this course in the later part used Python to extract data from both static pages and dynamic sites using libraries like pyquery and Selenium.