Authors: Eleba Llaudet and Kosuke
“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.











