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This book systematically investigates the past accomplishments and future agendas of contemporary comparative-historical analysis. Its core essays explore three major issues: the accumulation of knowledge in the field over the past three decades, the analytic tools used to study temporal process and historical patterns, and the methodologies available for making inferences and for building theories. The introductory and concluding essays situate the field as a whole by comparing it to alternative approaches within the social sciences. Comparative Historical Analysis in the Social Sciences will serve as an invaluable resource for scholars in the field, and it will represent a challenge to many other social scientists - especially those who have raised skeptical concerns about comparative-historical analysis in the past.
"Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors"--