of Political Science
Hello, and welcome to my web site! I am a Professor in the Department of Political Science at Michigan State University , Editor of the American Journal of Political Science, and current President of the Southern Political Science Association. I am also a Faculty Research Associate at the Inter-university Consortium for Political and Social Research (ICPSR) where I am an instructor in, and the former Director of, the ICPSR Summer Program in Quantitative Methods of Social Research. As a political scientist, my areas of interest include mass political behavior (public opinion and voting behavior) and quantitative methodology (measurement theory, scaling methods, and statistical graphics).
As you can see, this site's features are .... well ... very "basic." In fact, everything is still under construction. So, please check back soon for a (hopefully) more polished and complete version! Until then, use the links below to see my vita, information about my research, teaching, and some of the things I do for fun. If you don't find the materials you need, just drop me an e-mail message. And, more generally, feedback about this site is always welcome!
- Polarization and the "Culture War"
- Value Choices among Elites
- Value Choices in the Mass Public
- Policy Priorities in the American States
- Public Opinion and Federalism
- Measurement Properties of Feeling Thermometers
- Measuring Political Knowledge
- Scaling Methods
- Public Opinion and Welfare
- Ideology, Public Opinion, and Voting Behavior
- Statistical Graphics
- Scaling and Dimensional Analysis (2016 ICPSR Summer Program)
- Statistical Graphics for Visualizing Data (2016 ICPSR Summer Program)
- PLS 802: Regression Analysis (Michigan State University, Spring 2016)
- PLS 828: Public Opinion and the Political System (Michigan State University, Fall 2009)
- Creating Powerful and Effective Graphical Displays (A Short Course from the 2007 APSA Annual Meetings
- optiscale. An R package for optimal scaling of a data vector. This also is available on CRAN. Click here to obtain a brief article the package.
- cgmunf. An R package for metric unidimensional unfolding using the conditional global minimum algorithm. This is a "work in progress." The current version of the "unfold" function is prone to degenerate solutions unless the function is given good starting values.
- mdpref. An R function to estimate the profile point vector (PPV) model (formerly known as MDPREF). Requires the optiscale package.
Last modified: September 25, 2016, by William G. Jacoby.