GOV 391L • Statistical Analysis in Political Science II
2:00 PM-3:30 PM
Graduate standing required. Consent of the Graduate Adviser must be obtained. This course is a continuation of GOV 391J: Statistical Analysis in Political Science I. It assumes that students have learned the topics covered in Wonnacott & Wonnacott Chapters 1-10, including univariate descriptive statistics, probability, distributions of random variables (binomial and normal), sampling, point estimation, confidence intervals, hypothesis testing, and ANOVA. In this course, we will discuss the "classical" multiple regression model and learn how to deal with the problems that arise when some basic assumptions of the model are violated. We will also introduce logit and probit models, which are regression models with a dichotomous dependent variable. We will use SPSS and STATA, both available on our UNIX system, for computer analyses.
Homework Assignments: 30% In-Class Midterm Exam: 30% In-Class Final Exam: 30% Attendance and Participation:10%
D.N. Gujarati. 2003. Basic Econometrics, 4th ed. McGraw-Hill. A packet of political science application articles.