Synopsis
Demonstrates new ways to extract knowledge from statistical data and unlock more nuanced interpretations than has previously been possible.
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About the Authors
Eric W. Schoon is Associate Professor of Sociology at The Ohio State University. His research interests include case-oriented and relational methods, sociological theory, and cultural dimensions of contentious politics. His work has appeared in outlets including American Sociological Review, Journal of Politics, Social Forces, and Social Problems.
David Melamed is Professor of Sociology and Translational Data Analytics at The Ohio State University. He is currently co-Editor of Sociological Methodology. His research interests include the emergence of stratification and cooperation in complex systems. His work has appeared in American Journal of Sociology, American Sociological Review, and interdisciplinary venues.
Ronald L. Breiger is Regents Professor of Sociology at the University of Arizona. His interests include social network theory and methods and measurement issues in cultural and institutional analysis. He is the recipient of distinguished career awards from (respectively) the Methodology and Mathematical Sociology Sections of the American Sociological Association.
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Regression Inside Out (Strategies for Social Inquiry)
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Paperback. Condition: New. Linear regression analysis, with its many generalizations, is the predominant quantitative method used throughout the social sciences and beyond. The goal of the method is to study relations among variables. In this book, Schoon, Melamed and Breiger turn regression modeling inside out to put the emphasis on the cases (people, organizations, and nations) that comprise the variables. By re-analyzing influential published research, they reveal new insights and present a principled way to unlock a set of more nuanced interpretations than has previously been attainable. The emphasis is on intuition and examples that can be reproduced using the code and datasets provided. Relating their contributions to methodologies that operate under quite different philosophical assumptions, the authors advance multi-method social science and help to bridge the divide between quantitative and qualitative research. The result is a modern, accessible, and innovative take on extracting knowledge from data. Seller Inventory # LU-9781108744881
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Paperback. Condition: new. Paperback. Linear regression analysis, with its many generalizations, is the predominant quantitative method used throughout the social sciences and beyond. The goal of the method is to study relations among variables. In this book, Schoon, Melamed and Breiger turn regression modeling inside out to put the emphasis on the cases (people, organizations, and nations) that comprise the variables. By re-analyzing influential published research, they reveal new insights and present a principled way to unlock a set of more nuanced interpretations than has previously been attainable. The emphasis is on intuition and examples that can be reproduced using the code and datasets provided. Relating their contributions to methodologies that operate under quite different philosophical assumptions, the authors advance multi-method social science and help to bridge the divide between quantitative and qualitative research. The result is a modern, accessible, and innovative take on extracting knowledge from data. Demonstrates new techniques for interpreting and applying linear statistical analysis the predominant quantitative method in the social and policy sciences. These methods will help advance substantive thinking in quantitative and mixed-method analysis throughout the social sciences and beyond. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781108744881