We are excited to host Dr Tse-min Lin, Associate Professor of Government at the University of Texas Austin for a one-week workshop on
Analyzing Time-Series Cross-Section Data in Social Science Research
6-10 June, 2022
Hybrid Event: taking place in person or participation online via Teams.
Room LG 106 Hallward Library, University Park
Coffee 9:30am, lecture 10-12pm, break 12-2pm, hands-on session 2-3pm,
Individual meetings and consultations at C21, Law & Social Science Building.
These workshops will cover the following topics:
Multilevel Data Analysis (Monday 6 June)
Time-Series Cross-Section Data (Tuesday 7 June)
Autocorrelation Problems (Wednesday 8 June)
Special Temporal Models (Thursday 9 June)
Advanced Time Series (Friday 10 June)
Each session will build on previous sessions in the workshop, and it is assumed that participants are familiar with regression and its assumptions.
About Dr Tse-min Lin
Tse-min Lin is Associate Professor of Government and Associate Director of the Center for Taiwan Studies at the University of Texas at Austin. A Ph.D. in Political Science from the University of Minnesota, Dr. Lin has taught or visited at State University of New York at Stony Brook, Duke University, Michigan State University, the Institute of Political Science at Academia Sinica, and National Taiwan University.
His teaching and research interests cover methodology, formal theory, and American and comparative political behaviour. He has published in American Journal of Political Science, American Political Science Review, Democratization, International Political Science Review, Issues & Studies, Journal of Democracy, Journal of Information Technology & Politics, Journal of Politics, Mass Communication Research, Political Analysis, Political Research Quarterly, Public Choice, Review of Social Sciences, Social Science History, Taiwan Democracy Quarterly, Taiwan Journal of Democracy, World Politics, as well as in edited volumes.
**Room G 106 Hallward Library is a computer lab; therefore participants are not required to bring their own laptops, however anyone who wishes to may bring their own laptop. Practical materials will be taught using the R statistics package, although participants may follow along using other statistics packages if they are comfortable doing so.