An ideal textbook for an introductory course on quantitative methods for social scientists Data Analysis for Social Science provides a friendly introduction to the statistical concepts and programming skills needed to conduct and evaluate social scientific studies. Using plain language and assuming no prior knowledge of statistics and coding, the book provides a step-by-step guide to analyzing real-world data with the statistical program R for the purpose of answering a wide range of substantive social science questions. It teaches not only how to perform the analyses but also how to interpret results and identify strengths and limitations. This one-of-a-kind textbook includes supplemental materials to accommodate students with minimal knowledge of math and clearly identifies sections with more advanced material so that readers can skip them if they so choose. A more accessible version of Kosuke Imai's Quantitative Social Science Analyzes real-world data using the powerful, open-sourced statistical program R, which is free for everyone to use Teaches how to measure, predict, and explain quantities of interest based on data Shows how to infer population characteristics using survey research, predict outcomes using linear models, and estimate causal effects with and without randomized experiments Assumes no prior knowledge of statistics or coding Specifically designed to accommodate students with a variety of math backgrounds Provides cheatsheets of statistical concepts and R code 57 color + 101 b/w illus. 33 tables.
About the Author
Elena Llaudet is Assistant Professor of Political Science at Suffolk University in Boston. Kosuke Imai is Professor of Government and of Statistics at Harvard University.
- Contributor: Elena Llaudet
- Imprint: Princeton University Press
- ISBN13: 9780691199429
- Number of Pages: 256
- Packaged Dimensions: 203x254mm
- Format: Hardback
- Publisher: Princeton University Press
- Release Date: 2023-01-17
- Binding: Hardback
- Biography: Elena Llaudet is Assistant Professor of Political Science at Suffolk University in Boston. Kosuke Imai is Professor of Government and of Statistics at Harvard University.