Quan Li

Using R for Data Analysis in Social Sciences

A Research Project-Oriented Approach

• Broschiertes Buch

Produktbeschreibung

Using R for Data Analysis in Social Sciences offers a step-by-step guide on using free software R to conduct and reproduce published quantitative analysis. It walks readers through data preparation, visualization, analysis, and reporting. Test-used in undergraduate classes and student self-study, it is appropriate for any introductory course on R, data analysis, and empirical social-scientific research.

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Produktdetails

• Verlag: Hurst & Co.
• Seitenzahl: 368
• Erscheinungstermin: 6. Juni 2018
• Englisch
• Abmessung: 231mm x 155mm x 23mm
• Gewicht: 522g
• ISBN-13: 9780190656225
• ISBN-10: 0190656220
• Artikelnr.: 50427424

Autorenporträt

Dr. Quan Li is Professor of Political Science at Texas A&M University. His research has appeared in over thirty articles in numerous journals and two coauthored books, Democracy and Economic Openness in an Interconnected System: Complex Transformations and Politics and Foreign Direct Investment . He has served on the editorial boards of American Journal of Political Science, Journal of Politics, International Studies Quarterly, and International Interactions.

Inhaltsangabe

List of Figures
List of Tables
1. Learn about R and Write First Toy Programs
2. Get Data Ready: Import, Inspect, and Prepare Data
3. One-Sample and Difference of Means Tests
4. Covariance and Correlation
5. Regression Analysis
6. Regression Diagnostics and Sensitivity Analysis
7. Replicate Findings in Published Analyses
8. Appendix: A Brief Introduction to Analyzing Discrete Data