Quantitative Social Science Data with R

Autorentext

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.

Klappentext

This practical, step-by-step introduction to quantitative social science using R will provide low-level undergraduates with a foundation of understanding, ready to build upon as students advance throughout statistics

Inhalt

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