This book is an accessible introduction to quantitative data analysis, concentrating on the key issues facing those new to research, such as how to decide which statistical procedure is suitable, and how to interpret the subsequent results. Each chapter includes illustrative examples and a set of exercises that allows readers to test their understanding of the topic. The book, ...(展开全部)

This book is an accessible introduction to quantitative data analysis, concentrating on the key issues facing those new to research, such as how to decide which statistical procedure is suitable, and how to interpret the subsequent results. Each chapter includes illustrative examples and a set of exercises that allows readers to test their understanding of the topic. The book, ...(展开全部)

Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step by step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. ...(展开全部)

Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step by step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. ...(展开全部)

From two experts in the field comes an accessible, how-to guide that will help researchers think more productively about the relation between theory and data at every stage of their work. In Data Analysis in Qualitative Research, Iddo Tavory and Stefan Timmermans provide a how-to guide filled with tricks of the trade for researchers who hope to take excellent qualitative data a...(展开全部)

From two experts in the field comes an accessible, how-to guide that will help researchers think more productively about the relation between theory and data at every stage of their work. In Data Analysis in Qualitative Research, Iddo Tavory and Stefan Timmermans provide a how-to guide filled with tricks of the trade for researchers who hope to take excellent qualitative data a...(展开全部)

An introduction to data science or statistics shouldn’t involve proving complex theorems or memorizing obscure terms and formulas, but that is exactly what most introductory quantitative textbooks emphasize. In contrast, Thinking Clearly with Data focuses, first and foremost, on critical thinking and conceptual understanding in order to teach students how to be better consumers...(展开全部)

Ethan Bueno de Mesquita is the Sydney Stein Professor and deputy dean at the Harris School of Public Policy at the University of Chicago. He is the author of Political Economy for Public Policy and the coauthor of Theory and Credibility: Integrating Theoretical and Empirical Social Science (both Princeton). Twitter @ethanbdm Anthony Fowler is a professor at the Harris School of...(展开全部)

Preparing students to do research and understand what research can do. Basics of Social Research helps students understand what research can and cannot do, become better consumers of research, and learn why properly conducted research is important. This textteaches students to be better consumers of research results and understand how the research enterpri...(展开全部)

Causal inference is a fundamental goal of social research, and it has been a topic of methodological research for decades. The evaluation of social science theory cannot proceed without assessing the sizes of entailed cause-effect relationships. Policy research cannot be conducted without estimating the impacts that follow from policy interventions. Unfortunately, for most soci...(展开全部)