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

Editors: Curini, Luigi and Franzese, Robert
Publication Year: 2020
Publisher: Sage UK

ISBN: 978-1-52-645993-0
Category: Social Sciences - Political science
Image Count: 187
Book Status: Pending
Predicted Release Month: Dec 2021
Table of Contents

The SAGE Handbook of Research Methods in Political Science and International Relations offers a comprehensive overview of the field and its research processes through the empirical and research scholarship of leading international authors.

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Table of Contents

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