作者选取了从17世纪到20世纪西方小说史上的15部“里程碑”式的作品，以小说的语言和叙事方法为线索，作了全新的解读，既有小说这一体裁产生之初的《堂吉诃德》和18、19世纪的所谓“经典小说”，也有20世纪现代派小说，其中包括《爱玛》《包法利夫人》《诉讼》《百年孤独》《不能承受的生命之轻》《寒冬夜行人》。在对15部小说的个案分析中，布林克旁征博引，对20世纪西方重要思想家的观点都有比较精到的引证和阐析。

Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it—or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as economics, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the R programming language and to interpret the results—it encourages hands-on learning, not paper-and-pencil statistics. More than forty data sets taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior. Proven in the classroom, this one-of-a-kind textbook features numerous additional data analysis exercises and interactive R programming exercises, and also comes with supplementary teaching materials for instructors. Written especially for students in the social sciences and allied fields, including economics, sociology, public policy, and data science Provides hands-on instruction using R programming, not paper-and-pencil statistics Includes more than forty data sets from actual research for students to test their skills on Covers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools Features a wealth of supplementary exercises, including additional data analysis exercises and interactive programming exercises Offers a solid foundation for further study Comes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides

Methods of Discovery is organized around strategies for deepening arguments in order to find the best ways to study social phenomena. This exciting book is not about the mechanics of doing social science research, but about habits of thinking that enable students to use those mechanics in new ways, by coming up with new ideas and combining them more effectively with old ones. Examples from throughout the social sciences help show how these moves can open new lines of thinking. Each chapter covers several moves and their reverses (if these exist), discussing particular examples of the move as well as its logical and theoretical structure. This book offers readers a new way of thinking about directions for their research and new ways to imagine information relevant to their research problems.

John Gerring's exceptional textbook has been thoroughly revised in this second edition. It offers a one-volume introduction to social science methodology relevant to the disciplines of anthropology, economics, history, political science, psychology and sociology. This new edition has been extensively developed with the introduction of new material and a thorough treatment of essential elements such as conceptualization, measurement, causality and research design. It is written for students, long-time practitioners and methodologists and covers both qualitative and quantitative methods. It synthesizes the vast and diverse field of methodology in a way that is clear, concise and comprehensive. While offering a handy overview of the subject, the book is also an argument about how we should conceptualize methodological problems. Thinking about methodology through this lens provides a new framework for understanding work in the social sciences.