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Redesigning Social Inquiry: Fuzzy Sets and Beyond
Download Redesigning Social Inquiry: Fuzzy Sets and Beyond
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Review
“Charles Ragin’s Redesigning Social Inquiry offers social scientists, both qualitative and quantitative, and their readers new ways to analyze social phenomena clearly, honestly, and effectively. Readers prepared to invest a few hours will find a new world of analytic possibilities and understanding open to them. Imagine having techniques, easy to understand and implement, whose results really speak to questions we all care about!” (Howard S. Becker, author of Writing for Social Scientists)“Redesigning Social Inquiry is aimed at social scientists looking to escape the banality of everyday quantitative research, and here they’ll find a sophisticated way out of all the by-the-numbers work. But this book also speaks to those of us who have a profound knowledge of cases and want to explore the implications of this understanding. With this rigorous yet accessible book, Charles Ragin has completed his mission to reorient social science.” (Edwin Amenta, University of California, Irvine)“Once upon a time, historically oriented social scientists had to choose between the empirical richness of the case study method and the inferential appeal of ‘large n’ statistical studies. Charles Ragin has worked tirelessly for twenty years to create and refine a ‘third way;’ one that reconciles the general appeal of these two approaches. In Redesigning Social Inquiry Ragin has brought new sophistication to his ‘comparative case method,’ while rendering it even more accessible than before. On behalf of comparative historical researchers everywhere, I can only say ‘thanks.’” (Doug McAdam, Stanford University)"Ragin's work takes basic working notions about sociological research and forces readers to challenge fallacies and limitations of their own academic training. Any sociological methods professor who can smugluy occupy one of the easy chairs of methodological dogma after reading Redesigning Social Inquiry probably should visit the benefits office . . . to discuss an expedited retirement plan." (David K. Brown Teaching Sociology)
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About the Author
Charles C. Ragin is Chancellor’s Professor of Sociology at the University of California, Irvine.
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Product details
Paperback: 234 pages
Publisher: University of Chicago Press; 47116th edition (October 1, 2008)
Language: English
ISBN-10: 9780226702759
ISBN-13: 978-0226702759
ASIN: 0226702758
Product Dimensions:
5.5 x 0.5 x 8.5 inches
Shipping Weight: 13 ounces (View shipping rates and policies)
Average Customer Review:
4.5 out of 5 stars
6 customer reviews
Amazon Best Sellers Rank:
#283,169 in Books (See Top 100 in Books)
I bought this to learn more about fuzzy cluster analysis. This book is written by a social scientist for social scientists. This isn't a criticism but bear in mind that if you're not a social scientist the terminology takes a bit of getting used to.A nice feature is that the author makes a functioning software app freely downloadable so you can test ideas out.
Ragin's work is both though provoking and beautiful. He provides a methodology that goes beyond statistical analysis and the relevance of one variable on another. Rather fs/QCA provides a middle path between quantitative an qualitative research that captures causal complexity.
A different approach to social research, interesting
I was led to this book by Peer Fiss' recent article on fuzzy sets in the Academy of Management Review. The fsQCA methodology had significant appeal for me as I had confronted "insignificant outcomes" in my dissertation research due to a unexpectedly small sample size. Ragin is a key figure, perhaps the founding proponent, of the fsQCA method that he popularized in the 1980s. The concept of using fuzzy set theory to extend qualitative comparative analysis appears logical and Ragin certainly details the application of the method in this book well enough to allow the reader to apply the method.
It certainly provides me another way of thinking about causality compared to the traditional regressional thinking.
It contributes significant methodological advances
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