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Methods for Quantitative Macro-Comparative Research
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Methods for Quantitative Macro-Comparative Research



August 2013 | 296 pages | SAGE Publications, Inc

Will a one-child policy increase economic growth?  Does globalization contribute to global warming?  Are unequal societies less healthy than more egalitarian societies? 

It is questions like these that social scientists turn to quantitative macro-comparative research (QMCR) to answer. Although many social scientists understand statistics conceptually, they struggle with the mathematical skills required to conduct QMCR. This non-mathematical book is intended 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. It 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.


 
PART I: MACRO-COMPARATIVE DATA STRUCTURES
 
1. The Logic of Macro-Comparative Research
 
2. The International Data Infrastructure
 
3. Variable Operationalization
 
4. The Structure of Country Data
 
PART II: STATISTICAL ANALYSIS OF MACRO-COMPARATIVE DATA
 
5. Statistical Modeling with Cross-Sectional Designs
 
6. Structured and Longitudinal Designs for Establishing Causality
 
7. Repeated Measures and Multilevel Modeling
 
8. An Interpretive Research and Policy Framework
 
Conclusion: The Political Economy of Quantitative Macro-Comparative Research

This is an excellent book on a complex topic, the author has made a fantastic job of explaining difficult statistical concept in a language that is easily acceptable to both students and researchers.

Dr Mansour Pourmehdi
The Graduate School, Bradford University
November 17, 2013
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Key features

KEY FEATURES:

  • Offering unique coverage of both data sources and statistical models, this book is accessibly written and does not require mathematics, making it the perfect resource for professionals and students alike.
  • Extensive coverage of causality explores "why we model" (not often covered) rather than "how to model" (found in any textbook), an approach that promotes critical thinking.
  • An extensive, accessible discussion of repeated measures / multilevel models helps readers to understand these highly controversial, poorly understood models.
  • Coverage of when to run which models provides readers with seldom-provided advice.
  • A fascinating final chapter discusses the dynamic link between research and policy, showing how research results directly influence and shape real-life decisions.

Preview this book

Sample Materials & Chapters

Sample Chapter 2

Sample Chapter 7


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