Dear POLMETH community,

If you are attending APSA and are interested in teaching quantitative methods to beginners consider joining us for an Author Meet Critics panel where we will discuss the challenges and best practices of teaching quantitative methods to beginners, as well as my new textbook with Kosuke Imai, Data Analysis for Social Science: A Friendly a Practical Introduction (Princeton University Press, 2022), DSS for short. Assuming no prior knowledge of statistics or coding and only minimal knowledge of math, DSS teaches the fundamentals of survey research, predictive models, and causal inference while analyzing real-world data with R.

Teaching Quantitative Methods to Beginners: Challenges and Best Practices
Author Meet Critics Panel
Saturday, September 2, 2:00 to 3:30pm
Los Angeles Convention Center, Room 304A

Chair: Anna Harvey (New York University)

Presenters: 
Elena Llaudet (Suffolk University)
Kosuke Imai (Harvard University)
Alicia Cooperman (George Washington University)
Max Goplerud (University of Pittsburgh)
Tyler Simko (Harvard University)
Vanessa Baird (University of Colorado-Boulder)

More information on the panel: tinyurl.com/27nnft98 <http://tinyurl.com/27nnft98>

First chapter of DSS: bit.ly/dss_preview <http://bit.ly/dss_preview>
Overview of DSS: bit.ly/dss_tweet <http://bit.ly/dss_tweet>
Request exam copy: bit.ly/dss_exam <http://bit.ly/dss_exam>
Request instructor materials, including syllabus, lecture slides, and additional replication-style exercises: bit.ly/dss_instructor <http://bit.ly/dss_instructor>
Access interactive graphs: bit.ly/dss_graphs <http://bit.ly/dss_graphs>

Best,
Elena

Elena Llaudet
Associate Professor of Political Science
Suffolk University
scholar.harvard.edu/ellaudet <http://scholar.harvard.edu/ellaudet>
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