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: June 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