An Introduction to Political and Social Data Analysis (With R)

Thomas M. Holbrook is Emeritus Professor at the University of Wisconsin-Milwaukee, where he was a Distinguished Professor and the Wilder Crane Professor of Government in the political science department. He is a former editor of American Politics Research and the author of Do Campaigns Matter (Sage, 1996), Altered States (Oxford, 2016), and dozens of articles on various aspects of voting behavior and elections in the United States, most recently focusing on local politics. Professor Holbrook has taught undergraduate courses on data analysis and survey research for the past three decades and has integrated R into his data analysis courses for the past several years.

Introduction to Research and Data
Using R to Do Data Analysis
Frequencies and Basic Graphs
Data Preparation
Measures of Central Tendency
Measures of Dispersion
Probability
Sampling and Inference
Hypothesis Testing
Hypothesis Testing with Two Groups
Hypothesis Testing With Multiple Groups (ANOVA)
Hypothesis Testing with Non-Numeric Variables (Crosstabs)
Measures of Association
Correlation and Scatterplots
Simple Regression
Multiple Regression
Advanced Regression Topics
Regression Assumptions