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The SAGE Handbook of Research Methods in Political Science and International Relations
Two Volume Set
Edited by:
- Luigi Curini - Università degli Studi di Milano
- Robert Franzese - University of Michigan
Additional resources:
October 2020 | 1 332 pages | SAGE Publications Ltd
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
Gary King
Preface: So You're a Grad Student Now? Maybe You Should Do This
Part 1: Formulating Good Research Questions & Designing Good Research Projects
William Roberts Clark
Chapter 1: Asking Interesting Questions
Andrea Ruggeri & Adam McCauley
Chapter 2: From Questions and Puzzles to Research Project
Branislav Slantchev
Chapter 3: The Simple, the Trivial, and the Insightful: Field Dispatches from a Formal Theorist
Ravinder Bhavnani, Karsten Donnay & Mirko Reul
Chapter 4: Evidence-Driven Computational Modeling
Mitchell Goist and Burt L. Monroe
Chapter 5: Taking Data Seriously in the Design of Data Science Projects
Ezequiel González Ocantos
Chapter 6: Designing Qualitative Research Projects: Notes on Theory Building, Case Selection, and Field Research
Thomas Bräuninger & Tilko Swalve
Chapter 7: Theory Building for Causal Inference: EITM Research Projects
John Aldrich & Jim Granato
Chapter 8 EITM: Applications in Political Science and International Relations
Part 2: Methods of Theoretical Argumentation
Rose McDermott
Chapter 9: Political Psychology, Social Psychology and Behavioral Economics
Maxfield J. Peterson & B. Guy Peters
Chapter 10: Institutional Theory and Method
Adam Meirowitz & Kris Ramsay
Chapter 11: Applied Game Theory: An overview and first thoughts on the use of Game Theoretic Tools
James Adams, Samuel Merrill III & Roi Zur
Chapter 12: The Spatial-Voting Model
Charles Cameron & Nathan Gibson
Chapter 13: New Directions in Veto Bargaining: Message Legislation, Virtue Signaling, and Electoral Accountability
Lanny Martin & Georg Vanberg
Chapter 14: Models of Coalition Politics: Recent Developments and New Directions
James Morrow & Jessica S. Sun
Chapter 15: Models of Interstate Conflict
Deborah Beim
Chapter 16: Models of the Judiciary & Judicial Politics
Scott De Marchi & Brandon Stewart
Chapter 17: Wrestling with complexity in computational social science: theory, estimation, and representation
Scott LaCombe & Frederick J. Boehmke
Chapter 18: Evaluating Approaches for Modeling Learning within Diffusion Episodes
Part 3: Conceptualization & Measurement
Gerardo L. Munck, Jørgen Møller & Svend-Erik Skaaning
Chapter 19: Conceptualization and Measurement: Basic Distinctions and Guidelines
Christopher Fariss, Michael Kenwick & Kevin Reuning
Chapter 20: Measurement Models
Leemann Lucas & Fabio Wasserfallen
Chapter 21: Measuring Attitudes – Multilevel Modeling with Post-Strati?cation (MrP)
Part 4: Large-Scale Data Collection & Representation Methods
Dominic Nyhuis
Chapter 22: Web data collection: Potentials and challenges
Pablo Barberá & Zachary C. Steinert-Threlkeld
Chapter 23: How to Use Social Media Data for Political Science Research
David Darmofal & Christopher Eddy
Chapter 24: Spatial data
Richard Traunmüller
Chapter 25: Visualizing data in political science
Ken Benoit
Chapter 26: Text as data: an overview
Benjamin Carl Krag Egerod & Robert Klemmensen
Chapter 27: Scaling Political Positions from Text: Assumptions, Methods and Pitfalls
Sarah B. Bouchat
Chapter 28: Classification and Clustering
Luigi Curini & Robert Fahey
Chapter 29: Sentiment analysis and social media
Ernesto Calvo, Joan Timoneda & Tiago Ventura
Chapter 30: Big Relational Data: Network-Analytic Measurement
Part 5: Quantitative-Empirical Methods
Robert Franzese
Chapter 31: Econometric Modeling: From Measurement, Prediction, and Causal Inference to Causal Response Estimation
Suzanna Linn & Clayton Webb
Chapter 32: A Principle Approach to Time Series Analysis
Vera Troeger
Chapter 33: Time-Series-Cross-Section Analysis
Mark Pickup
Chapter 34: Dynamic Systems of Equations
Kentaro Fukumoto
Chapter 35: Duration Analysis
Marco Steenbergen
Chapter 36: Multilevel Analysis
Tobias Böhmelt & Gabriele Spilker
Chapter 37:Selection Bias in Political Science & International Relations Applications
Eric Neumayer & Thomas Plümper
Chapter 38: Dyadic Data Analysis
Scott J. Cook, Jude C. Hays & Robert J. Franzese
Chapter 39: Model Specification and Spatial Interdependence
Christopher L. Carter & Thad Dunning
Chapter 40: Instrumental variables: From structural equation models to design-based causal inference
Jake Bowers & Thomas Leavitt
Chapter 41: Causality and Design-Based Inference
Richard A. Nielsen
Chapter 42: Statistical Matching with Time-Series Cross-Sectional Data: Magic, Malfeasance, or Something in Between?
Luke Keele
Chapter 43: Differences-in-Differences: Neither Natural nor an Experiment
Matias D. Cattaneo, Rocío Titiunik & Gonzalo Vazquez-Bare
Chapter 44: The Regression Discontinuity Design
Jennifer Victor & Elsa T. Khwaja
Chapter 45: Network-Analysis: Theory and Testing
John P. Schoeneman & Bruce A. Desmarais
Chapter 46: Network Modeling: Estimation, Inference, Comparison, and Selection
Jong Hee Park & Sooahn Shin
Chapter 47: Bayesian Methods in Political Science
Shawn Treier
Chapter 48: Bayesian Ideal-Point Estimation
Florian M. Hollenbach & Jacob M. Montgomery
Chapter 49: Bayesian Model Selection, Model Comparison, and Model Averaging
Jeff Gill & Simon Heuberger
Chapter 50: Bayesian Modeling and Inference: A Postmodern Perspective
Rebecca Morton & Mateo Vásquez-Cortés
Chapter 51: Laboratory Experimental Methods in Political Science
Betsy Sinclair
Chapter 52: Field Experiments on the Frontier: Designing Better
Anna Maria Wilke & Macartan Humphries
Chapter 53: Field Experiments, Theory, and External Validity
Gustavo Diaz, Christopher Grady & James H. Kuklinski
Chapter 54: Survey Experiments and the Quest for Valid Interpretation
Kakia Chatsiou & Slava Jankin Mikhaylov
Chapter 55: Deep Learning for Political Science
Kelsey Shoub & Santiago Olivella
Chapter 56: Machine Learning in Political Science: Supervised Learning Models
Part 6: Qualitative & “Mixed” Methods
Adrian Du?a
Chapter 57: Set theoretic methods
Imke Harbers & Matthew C. Ingram
Chapter 58: Mixed-methods design
Chiara Ruffa
Chapter 59: Case study methods: case selection and case analysis
Klaus Brummer
Chapter 60: Comparative Analyses of Foreign Policy
Claire Greenstein & Layna Mosley
Chapter 61: When Talk Isn’t Cheap: Opportunities and Challenges in Interview Research
Virginie Van Ingelgom
Chapter 62: Focus Groups: From Qualitative Data Generation to Analysis
Xymena Kurowska & Berit Bliesemann de Guevara
Chapter 63: Interpretive Approaches in Political Science and International Relations
