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

Contents......Page 6
List of Figures......Page 12
List of Tables......Page 18
Notes on the Editors and Contributors......Page 21
An Introduction......Page 40
Foreword......Page 44
Preface: So You’re A Grad Student Now? Maybe You Should Do This • Gary King......Page 46
Part I: Formulating Good Research Questions and Designing Good Research Projects......Page 50
1. Asking Interesting Questions • William Roberts Clark......Page 52
2. From Questions and Puzzles to Research Project • Adam McCauley and Andrea Ruggeri......Page 71
3. The Simple, the Trivial and the Insightful: Field Dispatches from a Formal Theorist • Branislav L. Slantchev......Page 89
4. Evidence-Driven Computational Modeling • Ravi Bhavnani, Karsten Donnay and Mirko Reul......Page 105
5. Taking Data Seriously in the Design of Data Science Projects • Mitchell Goist and Burt L. Monroe......Page 124
6. Designing Qualitative Research Projects: Notes on Theory Building, Case Selection and Field Research • Ezequiel González-Ocantos......Page 149
7. Theory Building for Causal Inference: EITM Research Projects • Thomas Bräuninger and Tilko Swalve......Page 166
8. EITM: Applications in Political Science and International Relations • John Aldrich and Jim Granato......Page 187
Part II: Methods of Theoretical Argumentation......Page 204
9. Political Psychology, Social Psychology and Behavioral Economics • Rose McDermott......Page 206
10. Institutional Theory and Method • Maxfield J. Peterson and B. Guy Peters......Page 218
11. Applied Game Theory: An Overview and First Thoughts on the Use of Game Theoretic Tools • Adam Meirowitz and Kristopher W. Ramsay......Page 237
12. The Spatial Voting Model • James Adams, Samuel Merrill III and Roi Zur......Page 250
13. New Directions in Veto Bargaining: Message Legislation, Virtue Signaling, and Electoral Accountability • Charles Cameron and Nathan Gibson......Page 269
14. Models of Coalition Politics: Recent Developments and New Directions • Lanny W. Martin and Georg Vanberg......Page 289
15. Models of Interstate Conflict • James D. Morrow and Jessica S. Sun......Page 306
16. Models of the Judiciary • Deborah Beim......Page 322
17. Wrestling with Complexity in Computational Social Science: Theory, Estimation and Representation • Scott de Marchi and Brandon M. Stewart......Page 334
18. Learning and Diffusion Models • Scott J. LaCombe and Frederick J. Boehmke......Page 356
Part III: Conceptualization and Measurement......Page 374
19. Conceptualization and Measurement: Basic Distinctions and Guidelines • Gerardo L. Munck, Jørgen Møller and Svend-Erik Skaaning......Page 376
20. Measurement Models • Christopher J. Fariss, Michael R. Kenwick and Kevin Reuning......Page 398
21. Measuring Attitudes – Multilevel Modeling with Post-Stratification (MrP) • Lucas Leemann and Fabio Wasserfallen......Page 416
Part IV: Large-Scale Data Collection and Representation Methods......Page 430
22. Web Data Collection: Potentials and Challenges • Dominic Nyhuis......Page 432
23. How to Use Social Media Data for Political Science Research • Pablo Barberá and Zachary C. Steinert-Threlkeld......Page 449
24. Spatial Data • David Darmofal and Christopher Eddy......Page 469
25. Visualizing Data in Political Science • Richard Traunmüller......Page 481
26. Text as Data: An Overview • Ken Benoit......Page 506
27. Scaling Political Positions from Text: Assumptions, Methods and Pitfalls • Benjamin C.K. Egerod and Robert Klemmensen......Page 543
28. Classification and Clustering • Sarah B. Bouchat......Page 567
29. Sentiment Analysis and Social Media • Luigi Curini and Robert A. Fahey......Page 579
30. Big Relational Data: Network-Analytic Measurement • Ernesto Calvo, Joan C. Timoneda and Tiago Ventura......Page 597
Part V: Quantitative-Empirical Methods......Page 620
31. Econometric Modeling: From Measurement, Prediction, and Causal Inference to Causal-Response Estimation • Robert Franzese......Page 622
32. A Principled Approach to Time Series Analysis • Suzanna Linn and Clayton Webb......Page 644
33. Time-Series-Cross-Section Analysis • Vera Troeger......Page 661
34. Dynamic Systems of Equations • Mark Pickup......Page 677
35. Duration Analysis • Kentaro Fukumoto......Page 704
36. Multilevel Analysis • Marco Steenbergen......Page 724
37. Selection Bias in Political Science and International Relations Applications • Tobias Böhmelt and Gabriele Spilker......Page 746
38. Dyadic Data Analysis • Eric Neumayer and Thomas Plümper......Page 762
39. Model Specification and Spatial Interdependence • Scott J. Cook, Jude C. Hays, and Robert Franzese......Page 775
40. Instrumental Variables: From Structural Equation Models to Design-Based Causal Inference • Christopher L. Carter and Thad Dunning......Page 793
41. Causality and Design-Based Inference • Jake Bowers and Thomas Leavitt......Page 814
42. Statistical Matching with Time-Series Cross-Sectional Data: Magic, Malfeasance, or Something in between? • Richard A. Nielsen......Page 850
43. Differences-in-Differences: Neither Natural nor an Experiment • Luke Keele......Page 867
44. The Regression Discontinuity Design • Matias D. Cattaneo, Rocío Titiunik, and Gonzalo Vazquez-Bare......Page 880
45. Network Analysis: Theory and Testing • Jennifer N. Victor and Elsa T. Khwaja......Page 903
47. Bayesian Methods in Political Science • Jong Hee Park and Sooahn Shin......Page 940
48. Bayesian Ideal Point Estimation • Shawn Treier......Page 955
49. Bayesian Model Selection, Model Comparison, and Model Averaging • Florian M. Hollenbach and Jacob M. Montgomery......Page 982
50. Bayesian Modeling and Inference: A Postmodern Perspective • Jeff Gill and Simon Heuberger......Page 1006
51. Laboratory Experimental Methods • Rebecca Morton and Mateo Vásquez-Cortés......Page 1030
52. Field Experiments on the Frontier: Designing Better • Betsy Sinclair......Page 1044
53. Field Experiments, Theory, and External Validity • Anna M. Wilke and Macartan Humphreys......Page 1052
54. Survey Experiments and the Quest for Valid Interpretation • Gustavo Diaz, Christopher Grady, and James H. Kuklinski......Page 1081
55. Deep Learning for Political Science • Kakia Chatsiou and Slava Jankin Mikhaylov......Page 1098
56. Machine Learning in Political Science: Supervised Learning Models • Santiago Olivella and Kelsey Shoub......Page 1124
Part VI: Qualitative and ‘Mixed’ Methods......Page 1140
57. Set Theoretic Methods • Adrian Duşa......Page 1142
58. Mixed-Methods Designs • Imke Harbers and Matthew C. Ingram......Page 1162
59. Case Study Methods: Case Selection and Case Analysis • Chiara Ruffa......Page 1178
60. Comparative Analyses of Foreign Policy • Klaus Brummer......Page 1193
61. When Talk Isn’t Cheap: Opportunities and Challenges in Interview Research • Claire Greenstein and Layna Mosley......Page 1212
62. Focus Groups: From Qualitative Data Generation to Analysis • Virginie Van Ingelgom......Page 1235
63. Interpretive Approaches in Political Science and International Relations • Xymena Kurowska and Berit Bliesemann de Guevara......Page 1256
Editors’ Afterword • Luigi Curini and Robert Franzese......Page 1276
Index......Page 1277