Quantitative Research Methods
TR 12:20-2:15 including Lab: 1:30-2:30.
J. Francis. Spring.

Graduate level course in measurement and analysis of survey, demographic and observational data. Topics include linear regression, analysis of variance, and analysis of covariance with both continuous and categorically coded variables. Introduction to logistic regression and some nonlinear models. Special attention is given to handling ordered and unordered categorical data as these are prevalent in social/demographic data sets. Data from real surveys like the American National Election Studies and the General Social Surveys will be analyzed using programs like SAS and SPSS. Includes labs writing programs to analyze these data. Students familiarize themselves with data cleaning, missing data estimation, transformations, subsetting and other data handling procedures.