Professor (Joint Appointment), Taipei School of Economics and Political Science, National Tsing Hua University; President, Chinese Association of Political Science; Chair, Department of Political Science, National Taiwan University; Excelsior Chair Professor, National Taiwan University
Email
mhhuang5103@ntu.edu.tw
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http://politics.ntu.edu.tw/english/?p=11746
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Min-Hua Huang is a Professor in the Department of Political Science and Director of the Fu Hu Center for East Asia Democratization Studies, College of Social Science, National Taiwan University. Min-Hua Huang received his PhD from the University of Michigan. His research and teaching interests are in survey studies, democratization, Asian politics, public diplomacy, and multivariate statistical analysis. Before joining the National Taiwan University, Professor Huang served as an assistant professor in National Chengchi University (2004-2005), National Taiwan University (2005-2008), Texas A&M University (2008-2012), and a senior fellow at Shanghai Jiaotong University (2012-2013). He was also a visiting fellow at the Center for East Asia Policy Studies, the Brookings Institution (2014-2015). He has worked with Asian Barometer Survey, a leading cross-national public opinion project in Asia, and takes in charge of field operations in 15 societies since 2004. His publications have appeared in Asian Survey, Social Indicators Research, Journal of Contemporary China, Electoral Studies, Journal of East Asian Studies, International Journal of Public Opinion Research, Journal of Democracy, International Review of Sociology, International Political Science Review, Asian Perspective, Taiwan Journal of Democracy, Korean Journal of International Studies, Global Asia, Cass Journal of Political Science, Asian Politics & Policy, and various Taiwanese political science journals. He is the author of the book, The Ideas of Statistics: Theory and Application (Wu Nan, 2017, in Chinese), which emphasizes the historical dimension of the modern statistical paradigm in higher education.
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Teaching
Semester: Spring 2025 | 11320TSED 702300| 3 credits
Module:
Abstract
This course aims to train students with statistical skills to conduct multivariate regression analysis, including linear regression, ordinal logistic regression, multinomial logistic regression, and other advanced regression methods, such as multilevel modeling, panel regression, and psychometrics. The purpose is to equip student with proper capability to proceed causal investigation and able to do empirical research independently. This course will also introduce several large-scale public opinion datasets, including Asian Barometer, Arab Barometer, Afrobarometer, Latino Barometer, and Euraisa Barometer, and many others. Those datasets offer a rich source of information for students to engage in substantial studies in many subfields of political science. Background knowledge and theories that associated with those topics will be also covered in this course. Overall, the training of this course is not restricted to statistical methods, but also cover the realms of da