Quantitative Social Science Data with R 2/e

Brian Fogarty is Director of and Associate Professor of the Practice at the Center for Social Science Research, within the Center for Research Computing, at the University of Notre Dame, US. He is also concurrent research assistant professor in the Department of Political Science. As director of the CSSR, he works with social science researchers to support their project research design, data, and quantitative analysis needs. His current research focuses on the news media as a strategic actor in politics and understanding perceptions of voter and electoral fraud. Before joining Notre Dame, he was a lecturer in quantitative social science at the University of Glasgow's Q-Step Centre. Prior to joining Glasgow, he was an associate professor of political science at the University of Missouri - St. Louis. He received his Ph.D. in political science from the University of North Carolina - Chapel Hill.

Introduction Introduction To R And R Studio Finding Data Data Management Variables And Manipulation Developing Hypotheses Univariate And Descriptive Statistics Data Visualisation Hypothesis Testing Bivariate Analysis Linear Regression And Model Building OLS Assumptions And Diagnostic Testing Generalised Linear Models Count Models Putting It All Together