Reading and Understanding Regression Tables
It is increasingly common to see regression tables in the political science literature. While the best way to learn how to understand regression analysis is to take a class, it may be the case that you confront the tables before you get the chance to do that. Fortunately, there are a number of resources on the web that can give you a very basic understanding of how regression works and how to interpret regression results.
Eventually, we hope to post more specific information about interpreting statistics on this website. For now the resources below may suffice. Especially recommended is Engelhardt and Stugel’s “The Basics of Multiple Regression”.
- Dallal, Gerard E. “How to Read the Output from Simple Linear Regression Analsyes” in The Little Handbook of Statistical Practice.
- Meier, GM and Rauch JE (2000), “Appendix: How to read a regression table” taken from Leading Issues in Economic Development, Oxford University Press. p561 – 566.
- Sykes, Alan O., “An Introduction to Regression Analysis”, The Inaugural Coase Lecture.
- Engelhardt Gary and Therese Stukel. “The Basics of Multiple Regression” in Factors Related to Wages in the Current Population Survey. Part of Dartmouth’s Electronic Bookshelf on Statistics.
On the History of Statistics:
Portraits and Bibliographies of Statisticians: http://www.anselm.edu/homepage/jpitocch/biostatshist.html
Figures from the History of Probability and Statistics: http://www.economics.soton.ac.uk/staff/aldrich/Figures.htm
On Statistics as a Conceptual Field
Gapminder, an alternative resource on thinking about statistics: http://www.gapminder.org/
Arthur Benjamin on Statistics and the Digital Age (courtesy of TED.com)
Prof. Lisa C. Dierker, Professor of Psychology, Judd Hall 302, firstname.lastname@example.org
Prof. Emmanuel I. Kaparakis, Director of Centers for Advanced Computing, Allbritton 102, email@example.com
Prof. Jennifer S. Rose, Research Associate Professor, Judd Hall 307A, firstname.lastname@example.org
QAC Summer Apprenticeship Program
Since 2007, the Quantitative Analysis Center (QAC) has run a summer program where students have the opportunity to pick up skills in quantitative analysis and statistics software use while at the same time obtaining some social science research experience. As their website puts it, they have three main goals:
- To provide additional experiential learning opportunities for students by engaging them in active research projects.
- To support faculty research by training and supporting student research assistants.
- To develop and identify students that can serve as tutors during the academic year.
As such, not only is there research experience to be had, but a very handsome job opportunity at the end of the road. Be aware, however, that apprenticeship positions are determined and handled directly by professors, and the application goes through them. Therefore, if you’re interested, check with your professor!