This volume walks students through the use of R, an open source programming language and software environment for statistical computing and graphics. It features clear explanation, instruction and guidance; with plenty of annotated and labelled screenshots and a wealth of exercises and datasets so students can put their new R skills right to use.
Philip H. Pollock III is professor of political science at the University of Central Florida. He has taught courses in research methods at the undergraduate and graduate levels for nearly 30 years. His main research interests are American public opinion, voting behavior, techniques of quantitative analysis, and the scholarship of teaching and learning. His recent research has been on the effectiveness of Internet-based instruction. Pollock's research has appeared in the American Journal of Political Science, Social Science Quarterly, and British Journal of Political Science. Recent scholarly publications include articles in Political Research Quarterly, the Journal of Political Science Education, and PS: Political Science and Politics.
1. Getting Started 2. Descriptive Statistics 3. Transforming Variables 4. Making Comparisons 5. Making Controlled Comparisons 6. Making Inferences about Sample Means 7. Chi-square and Measures of Association 8. Correlation and Linear Regression 9. Dummy Variables and Interaction Effects 10. Logistic Regression 11. Doing Your Own Political Analysis
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