This workshop is designed to teach students who have taken The Basics of Multivariate Analysis (or who have an equivalent background) the tools that they need to begin to test their theories and produce presentations of their results for the top journals in Political Science, International Relations, Public Policy, and other related disciplines. Students are encouraged to bring their own data sets so that they can get hands-on experiences with applying the techniques covered in this workshop. Thus the emphasis is on making the transitions between theory, model specification, and result presentation as seamless as possible.
This workshop focuses on issues that researchers typically encounter as they attempt to test their theories in a regression framework. These include such issues as autocorrelation, heteroscedasticity, influential observations, multicollinearity, interactive theories, and non-linear relationships. Depending on time and student interests, we will also provide introductions to important extensions of the ideas of the workshop to time series data, spatial models, and models of limited dependent variables.
This is a hands-on workshop, meaning that a major goal is to have students learn about techniques by putting them to work with statistical software. To facilitate this, we will have lectures on each topic followed by lab sessions. In these lab sessions students will have the option of working with their own data or working with data provided by the instructors. The main statistical software program that we will use for the labs is Stata. Most of the programs will also be available in R.
Textbook: Kellstedt, Paul M., and Guy D. Whitten. The fundamentals of political science research, 2nd edition. Cambridge University Press, 2013.