Adv Stats Analysis

3 Credits · Level: Graduate, Undergraduate

This course is designed as a continuation of CCTP-5025 Statistical Methodology. It will focus on multivariate techniques of data analysis, including advanced topics in OLS regression analysis, methods for estimating statistical models with dichotomous dependent variables, such as logistic regression and discriminant analysis, and measurement models for incorporating multiple indicators into analysis, such as factor analysis. These techniques are commonly employed by social scientists. The course is designed not only to provide students with a hands-on approach to data analysis, but also to teach them to be informed consumers of statistical techniques. Students will be required to complete a data analysis project of their own design which may be conducted in conjunction with their thesis or other research project.