Focusing on practical data analysis, this book offers a comprehensive introduction to modern quantitative methods in social sciences. It serves as a valuable resource for both students and practitioners, aiming to establish itself as a standard reference in the field. Kosuke Imai's hands-on approach ensures that readers can effectively apply quantitative techniques to real-world social science problems.
Kosuke Imai Bücher
An ideal textbook for complete beginners—assumes no prior knowledge of statistics or coding and only minimal knowledge of mathData 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 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.Looking for a more advanced introduction? Consider Quantitative Social Science by Kosuke Imai. In addition to covering the material in Data Analysis for Social Science , it teaches diffs-in-diffs models, heterogeneous effects, text analysis, and regression discontinuity designs, among other things.