The SAGE Handbook of Research Methods in Political Science and International Relations offers a comprehensive overview of research processes in social science - from the ideation and design of research projects, through the construction of theoretical arguments, to conceptualization, measurement, and data collection, and quantitative and qualitative empirical analysis - exposited through 65 major new contributions from leading international methodologists. Each chapter surveys, builds upon, and extends the modern state of the art in its area. Following through its six-part organization, undergraduate and graduate students, researchers and practicing academics will be guided through the design, methods, and analysis of issues in Political Science and International Relations: Part One: Formulating Good Research Questions and Designing Good Research Projects; Part Two: Methods of Theoretical Argumentation; Part Three: Conceptualization and Measurement; Part Four: Large-Scale Data Collection and Representation Methods; Part Five: Quantitative-Empirical Methods; Part Six: Qualitative and Mixed Methods.
Chapter 49: Bayesian Model Selection, Model Comparison, and Model Averaging*
Applied researchers are often interested in testing competing theories against each other. Most often, the goal is to determine whether and how a limited number of variables are related to a single outcome. The question in these cases is, ‘which of these theoretical accounts is most consistent with the data?'; or, more ambitiously, ‘which of these theories is most consonant with the true data generating process (DGP)?’ Despite the ubiquity and importance of this research task, many scholars are still uncertain as to how to proceed in these situations. The purpose of this chapter is ...