Quantitative macro-comparative research (QMCR) is social, political, and economic research that uses countries as cases and facts about countries as variables. This book draws on methods and methodologies from the macro-comparative literatures in sociology, political science, economics, and geography.

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

Salvatore J. Babones is a senior lecturer in 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.