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In Ep. 103, Dean Jim Shanahan is joined by Bernard Fraga, Professor of Political Science at Indiana University. Tune in to hear about Fraga's research on voter turnout rates, political polls, and gerrymandering and redistricting.
Researchers often get contradictory advice from professors, colleagues, reviewers, and textbooks on how to deal with clustering across time and space. Economists argue strongly for “fixed effects” models. Psychologists and statisticians more typically push for “mixed effects” models. Most applied researchers in the social sciences are told to use a Hausman test to decide between fixed and random effects. This is complicated by the fact that different disciplines, articles, and books use very different terminology and notation to describe models. This lecture will walk participants through the basic problems of clustered data and translate the solutions from economics, psychology, and statistics into a common language. We will focus on how to make practical decisions on model choices for linear and nonlinear models, what problems can crop up, and how to describe/justify your methods to different audiences.
The Sample: In this episode of The Sample, Terick talks with Mike Sellers of the Media School about the way game design can extend beyond entertainment. Photo by Samuel Zeller on Unsplash.
Institute for Digital Arts & Humanities, Mary Borgo Ton
Summary:
How do we encourage students to read material closely and carefully? What can mark-up show us about the content and context of archival material? This workshop discusses TEI, an internationally-recognized mark-up language, as a framework for analyzing literature, historical documents, and images. We'll use a paper-based activity to explore the manuscript of Frankenstein with a particular focus on the content and editorial history of Mary Shelley's classic novel. No prior experience with mark-up languages needed!