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Methods for Quantitative Macro-Comparative Research, by Salvatore J. Babones
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Will a one-child policy increase economic growth? Does globalization contribute to global warming? Are unequal societies less healthy than more egalitarian societies?
To answer questions like these, social scientists turn to quantitative macro-comparative research (QMCR). Although many social scientists understand statistics conceptually, they struggle with the mathematical skills required to conduct QMCR. In Methods for Quantitative Macro-Comparative Research, author Salvatore J. Babones offers a means to bridge that gap, interpreting the advanced statistics used in QMCR in terms of verbal descriptions that any college graduate with a basic background in statistics can follow. He addresses both the philosophical foundations and day-to-day practice of QMCR in an effort to improve research outcomes and ensure policy relevance.
A comprehensive guide to QMCR, the book presents an overview of the questions that can be answered using QMCR, details the steps of the research process, and concludes with important guidelines and best-practices for conducting QMCR. The book assumes that the reader has a sound grasp of the fundamentals of linear regression modeling, but no advanced mathematical knowledge is required in order for researchers and students to read, understand, and enjoy the book. A conversational discussion style supplemented by 75 tables and figures makes the book's methodological arguments accessible to both students and professionals. Extensive citations refer readers back to primary discussions in the literature, and a comprehensive index provides easy access to coverage of specific techniques.
“This should be required reading for World Bank, OECD and U.N. researchers and data collectors as well as applied and academic sociologists, economists, political scientists and others who conduct cross country comparisons using publicly available large datasets.
—Ernesto Castañeda, University of Texas at El Paso
“I really don’t know how the author has managed it, but he covers complex material in an incredibly clear way…I think students who have a weaker background in statistics will learn a lot from the text and students with an advanced background in statistics will look at their analyses in a different way (from the point of planning analyses to actually interpreting results).”
—Lesley Williams Reid, Georgia State University
- Sales Rank: #3199709 in Books
- Brand: Brand: SAGE Publications, Inc
- Published on: 2013-08-06
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x .70" w x 7.30" l, 1.10 pounds
- Binding: Paperback
- 296 pages
- Used Book in Good Condition
Review
“There isn’t any text I am aware of like this, and as the author notes, there is an increasing amount of interest in this area, so a text is needed.”
—Richard York, University of Oregon
“All too often statistical analysis texts lose sight of the reasons for conducting the research in the first place, but that is certainly not the case here…The chapters thus far actually go far beyond much of the current work by both synthesizing a wide variety of material and explicitly dealing with many of the taken for granted assumptions…All of the writing is quite clear, even when it verges into quite complex methodological territory. The examples are well chosen.”
—Buster Smith, Catawba College
“This should be required reading for World Bank, OECD and U.N. researchers and data collectors as well as applied and academic sociologists, economists, political scientists and others who conduct cross country comparisons using publicly available large datasets.
—Ernesto Castañeda, University of Texas at El Paso
“I really don’t know how the author has managed it, but he covers complex material in an incredibly clear way…I think students who have a weaker background in statistics will learn a lot from the text and students with an advanced background in statistics will look at their analyses in a different way (from the point of planning analyses to actually interpreting results).”
—Lesley Williams Reid, Georgia State University
“I suspect this book will greatly enhance the teaching and practice of rigorous macro-level comparative analysis. It is a welcome addition to the teaching and training of future comparativists…I like very much the author’s courage in directly assessing and sometimes challenging the existing literature…This book must be taken seriously by all students of comparative politics. One can learn a great deal from it—it is a “big picture” book, covering well and widely the current state of research and analysis utilizing macro-approaches to the study of comparative politics.”
—Thomas Lancaster, Emory University
“The author explains complex concepts very well. Indeed, I found this far easier to read than most discussions of statistical methods.”
—Laura Hatcher, Southern Illinois University
(Laura Hatcher Laura Hatcher 2013-07-12)
“This is a book of PRIZE WINNING quality…It is also a profoundly original, highly convincing and very innovative attempt to reformulate macro methods to avoid the pitfalls of the clichéd solutions that have filled macro journals with sloppy unconvincing pseudo-scientific analyses for the last twenty years.”
—Samuel Cohn, Texas A&M University
About the Author
Salvatore J. Babones is an associate professor of sociology and social policy at the University of Sydney and an associate fellow at the Institute for Policy Studies (IPS). Previously, he was an assistant professor of sociology, public health, and public and international affairs at the University of Pittsburgh. He holds both a PhD in sociology and an MSE in mathematical sciences from the Johns Hopkins University. Dr. Babones is the author or editor of eight books and more than thirty academic papers. He is the editor of Applied Statistical Modeling and Fundamentals of Regression Modeling, both published by SAGE as part of the Benchmarks in Social Research Methods reference series. His academic research focuses on globalization, economic development, and statistical methods for comparative social science research.
Most helpful customer reviews
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Must-read for every social scientist
By daniela danna
Salvatore Babones' last book is decisively a must read (and study!) not only for sociologists specifically interested in quantitative macro-comparative research, but for all of us social scientists and students of social science, qualitative sociologists included. Babones has an interdisciplinary approach and brings the reader to a comprehensive tour in the land of international datasets, that for about half a century have constituted the backbone of social science based on numbers at the macro-level of countries. The outcomes of quantitative macro-comparative research are relevant not only to the academic world: it is influential on the views of every man and woman wanting to try and grasp how the world we live in is structured.
The approach that Babones take is historical, showing how countries are not “independent cases” in a statistical sense, but the result of the evolution of a world-system. This is a fact that shreds the “positivist veil” of illusion about how we conduct our research, usually presented as a test of hypotheses, while we all share an interpretative approach .
And how are those data constructed? This is truly relevant to every reader, so often hearing countries' data and rankings even in the news. What concepts do these data embody, what concepts have been left out? How exactly do they structure our comprehension of the world in a biased manner?
The first half of the book is a critical presentation of existing datasets and the reasons for their existence. This is a must-know for all practicioners of social science. The other half engages with how the datasets can be statistically handled, and is going to be of primary interest for quantitative social scientists but not only: I would warmly suggest its reading also to the qualitative social scientists, as Babones reveals in a very simple language the pros and cons (like violation of statistical assumptions) in handling them with the different modeling techniques. Since the central message is that grounded theory is routinely applied to the quantitative macro-comparative research, no matter how the research is presented, qualitative social scientists should be interested in this point of contact with a “quantitative heavy-duty” practicioner, as Babones describes himself.
Don't miss out the concluding chapter on the difference between being successful in research or in the research industry.
The essay – trite but true – reads like a novel, and sometimes like an intellectual autobiography, written with honesty, admirable and fascinating. The book is adorned not only by unexpected and funny quotations, but also with very relevant examples: Is development based on carbon dioxide emissions really the only way we have? Read the book to find out what our international data can tell us.
“Methods for Quantitative Macro-Comparative Research” ends with a word of caution to all us social scientists, and especially sociologists, against the latest developments in quantitative analysis: the ambition (I'd say the hybris) to simulate human behavior starting from individual “automatons”, that live in a mathematical model of our human reality. But – no matter how many millions can be poured into this agent-based modeling, as Babones alarmingly reports – complexity sociology will never be complex enough to automatically make sense of the world we live in.
Daniela Danna, PhD, University of Milan
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