An R Companion for the Third Edition of The Fundamentals of Political Science Research

An R Companion for the Third Edition of The Fundamentals of Political Science Research offers students a chance to delve into the world of R using real political data sets and statistical analysis techniques directly from Paul M. Kellstedt and Guy D. Whitten's best-selling textbook. Built in parallel with the main text, this workbook teaches students to apply the techniques they learn in each chapter by reproducing the analyses and results from each lesson using R. Students will also learn to create all of the tables and figures found in the textbook, leading to an even greater mastery of the core material. This accessible, informative, and engaging companion walks through the use of R step-by-step, using command lines and screenshots to demonstrate proper use of the software. With the help of these guides, students will become comfortable creating, editing, and using data sets in R to produce original statistical analyses for evaluating causal claims. End-of-chapter exercises encourage this innovation by asking students to formulate and evaluate their own hypotheses. Cover Front Matter Contents Preface Figures 1. The Scientiic Study of Politics 2. The Art of Theory Building 3. Evaluating Causal Relationships 4. Research Design 5. Measuring Concepts of Interest 6. Getting to Know Your Data 7. Probability and Statistical Inference 8. Bivariate Hypothesis Testing 9. Two-Variable Regression Models 10. Multiple Regression: The Basics 11. Multiple Regression Model Speciication 12. Limited Dependent Variables and Time-Series Data Bibliography index This workbook teaches students how to use the popular R statistical software program to assess causal relationships using real political science data. It parallels the main Kellstedt and Whitten text, which allows students to apply the lessons and techniques they learn in each chapter in a statistical software setting.