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This original textbook provides a comprehensive and integrated approach to using quantitative methods in the social sciences. Thomas R Black guides the student and researcher through the minefield of potential problems that may be confronted, and it is this emphasis on the practical that distinguishes his book from others which focus exclusively on either research design and measurement or statistical methods. Focusing on the design and execution of research, key topics such as planning, sampling, the design of measuring instruments, choice of statistical text and interpretation of results are examined within the context of the research process. In a lively and accessible style, the student is introduced to researc design issues alongside statistical procedures and encouraged to develop analytical and decision-making skills.
This original textbook provides a comprehensive and integrated approach to using quantitative methods in the social sciences. Thomas R Black guides the student and researcher through the minefield of potential problems that may be confronted, and it is this emphasis on the practical that distinguishes his book from others which focus exclusively on either research design and measurement or statistical methods. Focusing on the design and execution of research, key topics such as planning, sampling, the design of measuring instruments, choice of statistical text and interpretation of results are examined within the context of the research process. In a lively and accessible style, the student is introduced to
First Published in 2010. Routledge is an imprint of Taylor & Francis, an informa company.
Some in the social sciences argue that the same logic applies to both qualitative and quantitative methods. In A Tale of Two Cultures, Gary Goertz and James Mahoney demonstrate that these two paradigms constitute different cultures, each internally coherent yet marked by contrasting norms, practices, and toolkits. They identify and discuss major differences between these two traditions that touch nearly every aspect of social science research, including design, goals, causal effects and models, concepts and measurement, data analysis, and case selection. Although focused on the differences between qualitative and quantitative research, Goertz and Mahoney also seek to promote toleration, exchange, and learning by enabling scholars to think beyond their own culture and see an alternative scientific worldview. This book is written in an easily accessible style and features a host of real-world examples to illustrate methodological points.
Qualitative Research Design: An Interactive Approach, Third Edition provides researchers and students with a user-friendly, step-by-step guide to planning qualitative research. Joseph A. Maxwell shows how the components of design interact with each other, and provides a strategy for creating coherent and workable relationships among these design components, highlighting key design issues. Written in an informal, jargon-free style, the book incorporates examples and hands-on exercises. "This book uses everyday language that will captivate students' attention and embed practical knowledge to supplement the technical." —Gaetane Jean-Marie, University of Oklahoma "The key strengths of the text are the passion and the enthusiasm that Dr. Maxwell has for qualitative research after all these years. I feel I can also utilize these concepts on my own research team and take them out of the classroom and into research team meetings with colleagues." —Deborah Gioia, University of Maryland, Baltimore "I really liked this book. I found myself taking notes and saying "yes" so many times because Maxwell captures the research process so well and provides many points worth quoting. As a faculty mentor, I particularly see the value of this book for my students who are conducting qualitative dissertations." —Mary S. Enright, Capella University "The text is incredibly engaging and practical...So many of the issues raised in the book are central to qualitative research, yet often not explicitly discussed in 'public' venues." - David Carlone, The University of North Carolina at Greensboro "I particularly like the interactive focus and believe that helps students to more realistically engage qualitative research design. It certainly lives up to its billing as a good guidebook, and I appreciate the fact that the author really concentrates on useful content, exercises, insights, and examples, and leaves extensive theory discussions to others." - Sharon L. Caudle, Texas A & M University
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

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