Kit Tai Hau

Professor Hau Kit-tai is Professor of Educational Psychology and Chairman of University Extension Board and three Senate Committees (Committee on Teaching and Learning, Committee on General Education, Committee on Language Enhancement) at CUHK. Joining CUHK in 1988, he had been the Chairman of the Department of Educational Psychology for 13 years and is currently the President of the Educational Psychology Division, International Association of Applied Psychology. He received his BSc and MA degrees from CUHK and pursued further studies at the University of Hong Kong where he received his PhD (psychology) degree.
Professor Hau is also a member of various university committees, including the University Academic Personnel Committee and Board of Trustees of Shaw College. He was former Dean of Students of Shaw College.
Professor Hau's research interest includes motivation, self-concept and quantitative methods and he has published extensively in major international academic journals. He also spares no effort in enhancing education in Hong Kong by actively serving on various government and community advisory boards in curriculum and youth development. Over the last 15 years, he has conducted over 100 national advanced applied statistics workshops in mainland China to promote empirical research in social sciences and education.
More info: http://www.cuhk.edu.hk/governance/officers/hau-kit-tai/english/cv.html

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Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话) (Coursera) Coursera
The Chinese University of Hong Kong

Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话) (Coursera)

Dive into the world of Structural Equation Modeling (SEM), a powerful statistical tool that bridges the gap between theory and empirical data analysis across diverse disciplines. This course will guide you through understanding SEM's principles, applying it in real-world scenarios, and leveraging its capabilities to explore intricate relationships among variables. Whether you're in sociology, psychology, education, economics, management, or marketing research, this course equips you with the skills to analyze complex systems and make informed decisions based on robust data.

Oct 12th 2021
5-12 Weeks
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