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Synopsis
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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About the Author
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.
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Using R for Data Analysis in Social Sciences: A Research Project-Oriented Approach
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Oxford University Press, 2018
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Using R for Data Analysis in Social Sciences: A Research Project-Oriented Approach
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Using R for Data Analysis in Social Sciences: A Research Project-Oriented Approach
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Using R for Data Analysis in Social Sciences: A Research Project-Oriented Approach
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Using R for Data Analysis in Social Sciences: A Research Project-Oriented Approach
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Using R for Data Analysis in Social Sciences: A Research Project-Oriented Approach
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