Luigi Curini & Robert Franzese 
The SAGE Handbook of Research Methods in Political Science and International Relations [PDF ebook] 

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