The SAGE Handbook of Research Methods in Political Science and International Relations

Luigi Curini, Robert Franzese, Luigi Curini, Robert Franzese, SAGE Publications Ltd

• Publisher: SAGE Publications Ltd
• Year: 2020
• Print ISBN: 9781526459930
• eBook ISBN: 9781526486394
• Edition: 1
• Topic: Politics & International Relations
• Subtopic: International Relations
• Index: Politics & International Relations

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, & data collection, and quantitative & 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 & Designing Good Research Projects

Part Two: Methods of Theoretical Argumentation

Part Three: Conceptualization & Measurement

Part Four: Large-Scale Data Collection & Representation Methods

Part Five: Quantitative-Empirical Methods

Part Six: Qualitative & "Mixed" Methods

 

 

Table of contents

• Cover
• Half Title
• Title Page
• Copyright Page
• Contents
• List of Figures
• List of Tables
• Notes on the Editors and Contributors
• An Introduction
• Foreword
• So You're A Grad Student Now? Maybe You Should Do This
• Part I Formulating Good Research Questions and Designing Good Research Projects
• 1 Asking Interesting Questions
• 2 From Questions and Puzzles to Research Project
• 3 The Simple, the Trivial and the Insightful: Field Dispatches from a Formal Theorist
• 4 Evidence-Driven Computational Modeling1
• 5 Taking Data Seriously in the Design of Data Science Projects
• 6 Designing Qualitative Research Projects: Notes on Theory Building, Case Selection and Field Research
• 7 Theory Building for Causal Inference: EITM Research Projects
• 8 EITM: Applications in Political Science and International Relations1
• Part II Methods of Theoretical Argumentation
• 9 Political Psychology, Social Psychology and Behavioral Economics
• 10 Institutional Theory and Method
• 11 Applied Game Theory: An Overview and First Thoughts on the Use of Game Theoretic Tools
• 12 The Spatial Voting Model
• 13 New Directions in Veto Bargaining: Message Legislation, Virtue Signaling, and Electoral Accountability
• 14 Models of Coalition Politics: Recent Developments and New Directions
• 15 Models of Interstate Conflict
• 16 Models of the Judiciary
• 17 Wrestling with Complexity in Computational Social Science: Theory, Estimation and Representation
• 18 Learning and Diffusion Models
• Part III Conceptualization and Measurement
• 19 Conceptualization and Measurement: Basic Distinctions and Guidelines
• 20 Measurement Models
• 21 Measuring Attitudes – Multilevel Modeling with Post-Stratification (MrP)*
• Part IV Large-Scale Data Collection and Representation Methods
• 22 Web Data Collection: Potentials and Challenges
• 23 How to Use Social Media Data for Political Science Research
• 24 Spatial Data
• 25 Visualizing Data in Political Science
• 26 Text as Data: An Overview
• 27 Scaling Political Positions from Text: Assumptions, Methods and Pitfalls
• 28 Classification and Clustering
• 29 Sentiment Analysis and Social Media
• 30 Big Relational Data: Network-Analytic Measurement
• Part V Quantitative-Empirical Methods
• 31 Econometric Modeling: From Measurement, Prediction, and Causal Inference to Causal-Response Estimation
• 32 A Principled Approach to Time Series Analysis
• 33 Time-Series-Cross-Section Analysis
• 34 Dynamic Systems of Equations
• 35 Duration Analysis
• 36 Multilevel Analysis
• 37 Selection Bias in Political Science and International Relations Applications
• 38 Dyadic Data Analysis
• 39 Model Specification and Spatial Interdependence*
• 40 Instrumental Variables: From Structural Equation Models to Design-Based Causal Inference
• 41 Causality and Design-Based Inference
• 42 Statistical Matching with Time-Series Cross-Sectional Data: Magic, Malfeasance, or Something in between?
• 43 Differences-in-Differences: Neither Natural nor an Experiment
• 44 The Regression Discontinuity Design1
• 45 Network Analysis: Theory and Testing
• 46 Network Modeling: Estimation, Inference, Comparison, and Selection
• 47 Bayesian Methods in Political Science
• 48 Bayesian Ideal Point Estimation
• 49 Bayesian Model Selection, Model Comparison, and Model Averaging*
• 50 Bayesian Modeling and Inference: A Postmodern Perspective
• 51 Laboratory Experimental Methods
• 52 Field Experiments on the Frontier: Designing Better
• 53 Field Experiments, Theory, and External Validity
• 54 Survey Experiments and the Quest for Valid Interpretation
• 55 Deep Learning for Political Science
• 56 Machine Learning in Political Science: Supervised Learning Models
• Part VI Qualitative and ‘mixed’ methods
• 57 Set Theoretic Methods
• 58 Mixed-Methods Designs
• 59 Case Study Methods: Case Selection and Case Analysis
• 60 Comparative Analyses of Foreign Policy
• 61 When Talk Isn't Cheap: Opportunities and Challenges in Interview Research
• 62 Focus Groups: From Qualitative Data Generation to Analysis
• 63 Interpretive Approaches in Political Science and International Relations
• Afterword
• Index