Data Analysis for Social Science: A Friendly and Practical Introduction

Elena Llaudet, Kosuke Imai
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An ideal textbook for complete beginners—teaches from scratch R, statistics, and the fundamentals of quantitative social science

Data Analysis for Social Science provides a friendly introduction to the statistical concepts and programming skills needed to conduct and evaluate social scientific studies. Assuming no prior knowledge of statistics and coding and only minimal knowledge of math, the book teaches the fundamentals of survey research, predictive models, and causal inference while analyzing data from published studies with the statistical program R. It teaches not only how to perform the data analyses but also how to interpret the results and identify the analyses’ strengths and limitations.

(Excerpt from amazon.com)