For scholars seeking credible research designs, this is an indispensable volume. The methods are wide-ranging and on the cutting edge, and the authors are an all-star cast of leading experts.

• Preface: So You′re a Grad Student Now? Maybe You Should Do This - Gary KingPart 1: Formulating Good Research Questions & Designing Good Research ProjectsChapter 1: Asking Interesting Questions - William Roberts ClarkChapter 2: From Questions and Puzzles to Research Project - Andrea Ruggeri & Adam McCauleyChapter 3: The Simple, the Trivial, and the Insightful: Field Dispatches from a Formal Theorist - Branislav SlantchevChapter 4: Evidence-Driven Computational Modeling - Ravinder Bhavnani, Karsten Donnay & Mirko ReulChapter 5: Taking Data Seriously in the Design of Data Science Projects - Mitchell Goist and Burt L. MonroeChapter 6: Designing Qualitative Research Projects: Notes on Theory Building, Case Selection, and Field Research - Ezequiel González OcantosChapter 7: Theory Building for Causal Inference: EITM Research Projects - Thomas Bräuninger & Tilko SwalveChapter 8 EITM: Applications in Political Science and International Relations - John Aldrich & Jim GranatoPart 2: Methods of Theoretical ArgumentationChapter 9: Political Psychology, Social Psychology and Behavioral Economics - Rose McDermottChapter 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 ZurChapter 13: New Directions in Veto Bargaining: Message Legislation, Virtue Signaling, and Electoral Accountability - Charles Cameron & Nathan GibsonChapter 14: Models of Coalition Politics: Recent Developments and New Directions - Lanny Martin & Georg VanbergChapter 15: Models of Interstate Conflict - James Morrow & Jessica S. SunChapter 16: Models of the Judiciary & Judicial Politics - Deborah BeimChapter 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 LaCombe & Frederick J. Boehmke Part 3: Conceptualization & MeasurementChapter 19: Conceptualization and Measurement: Basic Distinctions and Guidelines - Gerardo L. Munck, Jørgen Møller & Svend-Erik SkaaningChapter 20: Measurement Models - Christopher Fariss, Michael Kenwick & Kevin Reuning Chapter 21: Measuring Attitudes – Multilevel Modeling with Post-Strati?cation (MrP) - Leemann Lucas & Fabio Wasserfallen Part 4: Large-Scale Data Collection & Representation MethodsChapter 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 EddyChapter 25: Visualizing data in political science - Richard TraunmüllerChapter 26: Text as data: an overview - Ken Benoit Chapter 27: Scaling Political Positions from Text: Assumptions, Methods and Pitfalls - Benjamin Carl Krag Egerod & Robert KlemmensenChapter 28: Classification and Clustering - Sarah B. BouchatChapter 29: Sentiment analysis and social media - Luigi Curini & Robert FaheyChapter 30: Big Relational Data: Network-Analytic Measurement - Ernesto Calvo, Joan Timoneda & Tiago VenturaPart 5: Quantitative-Empirical MethodsChapter 31: Econometric Modeling: From Measurement, Prediction, and Causal Inference to Causal Response Estimation - Robert FranzeseChapter 32: A Principle Approach to Time Series Analysis - Suzanna Linn & Clayton WebbChapter 33: Time-Series-Cross-Section Analysis - Vera TroegerChapter 34: Dynamic Systems of Equations - Mark Pickup Chapter 35: Duration Analysis - Kentaro FukumotoChapter 36: Multilevel Analysis - Marco SteenbergenChapter 37:Selection Bias in Political Science & International Relations Applications - Tobias Böhmelt & Gabriele SpilkerChapter 38: Dyadic Data Analysis - Eric Neumayer & Thomas Plümper Chapter 39: Model Specification and Spatial Interdependence - Scott J. Cook, Jude C. Hays & Robert J. FranzeseChapter 40: Instrumental variables: From structural equation models to design-based causal inference - Christopher L. Carter & Thad DunningChapter 41: Causality and Design-Based Inference - Jake Bowers & Thomas LeavittChapter 42: Statistical Matching with Time-Series Cross-Sectional Data: Magic, Malfeasance, or Something in Between? - Richard A. NielsenChapter 43: Differences-in-Differences: Neither Natural nor an Experiment - Luke KeeleChapter 44: The Regression Discontinuity Design - Matias D. Cattaneo, Rocío Titiunik & Gonzalo Vazquez-BareChapter 45: Network-Analysis: Theory and Testing - Jennifer Victor & Elsa T. KhwajaChapter 46: Network Modeling: Estimation, Inference, Comparison, and Selection - John P. Schoeneman & Bruce A. DesmaraisChapter 47: Bayesian Methods in Political Science - Jong Hee Park & Sooahn ShinChapter 48: Bayesian Ideal-Point Estimation - Shawn TreierChapter 49: Bayesian Model Selection, Model Comparison, and Model Averaging - Florian M. Hollenbach & Jacob M. MontgomeryChapter 50: Bayesian Modeling and Inference: A Postmodern Perspective - Jeff Gill & Simon HeubergerChapter 51: Laboratory Experimental Methods in Political Science - Rebecca Morton & Mateo Vásquez-CortésChapter 52: Field Experiments on the Frontier: Designing Better - Betsy SinclairChapter 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 MikhaylovChapter 56: Machine Learning in Political Science: Supervised Learning Models - Kelsey Shoub & Santiago OlivellaPart 6: Qualitative & “Mixed” MethodsChapter 57: Set theoretic methods - Adrian Du?a Chapter 58: Mixed-methods design - Imke Harbers & Matthew C. IngramChapter 59: Case study methods: case selection and case analysis - Chiara RuffaChapter 60: Comparative Analyses of Foreign Policy - Klaus BrummerChapter 61: When Talk Isn’t Cheap: Opportunities and Challenges in Interview Research - Claire Greenstein & Layna MosleyChapter 62: Focus Groups: From Qualitative Data Generation to Analysis - Virginie Van IngelgomChapter 63: Interpretive Approaches in Political Science and International Relations - Xymena Kurowska & Berit Bliesemann de Guevara

For scholars seeking credible research designs, this is an indispensable volume. The methods are wide-ranging and on the cutting edge, and the authors are an all-star cast of leading experts.

• Preface: So You′re a Grad Student Now? Maybe You Should Do This - Gary KingPart 1: Formulating Good Research Questions & Designing Good Research ProjectsChapter 1: Asking Interesting Questions - William Roberts ClarkChapter 2: From Questions and Puzzles to Research Project - Andrea Ruggeri & Adam McCauleyChapter 3: The Simple, the Trivial, and the Insightful: Field Dispatches from a Formal Theorist - Branislav SlantchevChapter 4: Evidence-Driven Computational Modeling - Ravinder Bhavnani, Karsten Donnay & Mirko ReulChapter 5: Taking Data Seriously in the Design of Data Science Projects - Mitchell Goist and Burt L. MonroeChapter 6: Designing Qualitative Research Projects: Notes on Theory Building, Case Selection, and Field Research - Ezequiel González OcantosChapter 7: Theory Building for Causal Inference: EITM Research Projects - Thomas Bräuninger & Tilko SwalveChapter 8 EITM: Applications in Political Science and International Relations - John Aldrich & Jim GranatoPart 2: Methods of Theoretical ArgumentationChapter 9: Political Psychology, Social Psychology and Behavioral Economics - Rose McDermottChapter 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 ZurChapter 13: New Directions in Veto Bargaining: Message Legislation, Virtue Signaling, and Electoral Accountability - Charles Cameron & Nathan GibsonChapter 14: Models of Coalition Politics: Recent Developments and New Directions - Lanny Martin & Georg VanbergChapter 15: Models of Interstate Conflict - James Morrow & Jessica S. SunChapter 16: Models of the Judiciary & Judicial Politics - Deborah BeimChapter 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 LaCombe & Frederick J. Boehmke Part 3: Conceptualization & MeasurementChapter 19: Conceptualization and Measurement: Basic Distinctions and Guidelines - Gerardo L. Munck, Jørgen Møller & Svend-Erik SkaaningChapter 20: Measurement Models - Christopher Fariss, Michael Kenwick & Kevin Reuning Chapter 21: Measuring Attitudes – Multilevel Modeling with Post-Strati?cation (MrP) - Leemann Lucas & Fabio Wasserfallen Part 4: Large-Scale Data Collection & Representation MethodsChapter 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 EddyChapter 25: Visualizing data in political science - Richard TraunmüllerChapter 26: Text as data: an overview - Ken Benoit Chapter 27: Scaling Political Positions from Text: Assumptions, Methods and Pitfalls - Benjamin Carl Krag Egerod & Robert KlemmensenChapter 28: Classification and Clustering - Sarah B. BouchatChapter 29: Sentiment analysis and social media - Luigi Curini & Robert FaheyChapter 30: Big Relational Data: Network-Analytic Measurement - Ernesto Calvo, Joan Timoneda & Tiago VenturaPart 5: Quantitative-Empirical MethodsChapter 31: Econometric Modeling: From Measurement, Prediction, and Causal Inference to Causal Response Estimation - Robert FranzeseChapter 32: A Principle Approach to Time Series Analysis - Suzanna Linn & Clayton WebbChapter 33: Time-Series-Cross-Section Analysis - Vera TroegerChapter 34: Dynamic Systems of Equations - Mark Pickup Chapter 35: Duration Analysis - Kentaro FukumotoChapter 36: Multilevel Analysis - Marco SteenbergenChapter 37:Selection Bias in Political Science & International Relations Applications - Tobias Böhmelt & Gabriele SpilkerChapter 38: Dyadic Data Analysis - Eric Neumayer & Thomas Plümper Chapter 39: Model Specification and Spatial Interdependence - Scott J. Cook, Jude C. Hays & Robert J. FranzeseChapter 40: Instrumental variables: From structural equation models to design-based causal inference - Christopher L. Carter & Thad DunningChapter 41: Causality and Design-Based Inference - Jake Bowers & Thomas LeavittChapter 42: Statistical Matching with Time-Series Cross-Sectional Data: Magic, Malfeasance, or Something in Between? - Richard A. NielsenChapter 43: Differences-in-Differences: Neither Natural nor an Experiment - Luke KeeleChapter 44: The Regression Discontinuity Design - Matias D. Cattaneo, Rocío Titiunik & Gonzalo Vazquez-BareChapter 45: Network-Analysis: Theory and Testing - Jennifer Victor & Elsa T. KhwajaChapter 46: Network Modeling: Estimation, Inference, Comparison, and Selection - John P. Schoeneman & Bruce A. DesmaraisChapter 47: Bayesian Methods in Political Science - Jong Hee Park & Sooahn ShinChapter 48: Bayesian Ideal-Point Estimation - Shawn TreierChapter 49: Bayesian Model Selection, Model Comparison, and Model Averaging - Florian M. Hollenbach & Jacob M. MontgomeryChapter 50: Bayesian Modeling and Inference: A Postmodern Perspective - Jeff Gill & Simon HeubergerChapter 51: Laboratory Experimental Methods in Political Science - Rebecca Morton & Mateo Vásquez-CortésChapter 52: Field Experiments on the Frontier: Designing Better - Betsy SinclairChapter 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 MikhaylovChapter 56: Machine Learning in Political Science: Supervised Learning Models - Kelsey Shoub & Santiago OlivellaPart 6: Qualitative & “Mixed” MethodsChapter 57: Set theoretic methods - Adrian Du?a Chapter 58: Mixed-methods design - Imke Harbers & Matthew C. IngramChapter 59: Case study methods: case selection and case analysis - Chiara RuffaChapter 60: Comparative Analyses of Foreign Policy - Klaus BrummerChapter 61: When Talk Isn’t Cheap: Opportunities and Challenges in Interview Research - Claire Greenstein & Layna MosleyChapter 62: Focus Groups: From Qualitative Data Generation to Analysis - Virginie Van IngelgomChapter 63: Interpretive Approaches in Political Science and International Relations - Xymena Kurowska & Berit Bliesemann de Guevara

For scholars seeking credible research designs, this is an indispensable volume. The methods are wide-ranging and on the cutting edge, and the authors are an all-star cast of leading experts.

• Preface: So You′re a Grad Student Now? Maybe You Should Do This - Gary KingPart 1: Formulating Good Research Questions & Designing Good Research ProjectsChapter 1: Asking Interesting Questions - William Roberts ClarkChapter 2: From Questions and Puzzles to Research Project - Andrea Ruggeri & Adam McCauleyChapter 3: The Simple, the Trivial, and the Insightful: Field Dispatches from a Formal Theorist - Branislav SlantchevChapter 4: Evidence-Driven Computational Modeling - Ravinder Bhavnani, Karsten Donnay & Mirko ReulChapter 5: Taking Data Seriously in the Design of Data Science Projects - Mitchell Goist and Burt L. MonroeChapter 6: Designing Qualitative Research Projects: Notes on Theory Building, Case Selection, and Field Research - Ezequiel González OcantosChapter 7: Theory Building for Causal Inference: EITM Research Projects - Thomas Bräuninger & Tilko SwalveChapter 8 EITM: Applications in Political Science and International Relations - John Aldrich & Jim GranatoPart 2: Methods of Theoretical ArgumentationChapter 9: Political Psychology, Social Psychology and Behavioral Economics - Rose McDermottChapter 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 ZurChapter 13: New Directions in Veto Bargaining: Message Legislation, Virtue Signaling, and Electoral Accountability - Charles Cameron & Nathan GibsonChapter 14: Models of Coalition Politics: Recent Developments and New Directions - Lanny Martin & Georg VanbergChapter 15: Models of Interstate Conflict - James Morrow & Jessica S. SunChapter 16: Models of the Judiciary & Judicial Politics - Deborah BeimChapter 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 LaCombe & Frederick J. Boehmke Part 3: Conceptualization & MeasurementChapter 19: Conceptualization and Measurement: Basic Distinctions and Guidelines - Gerardo L. Munck, Jørgen Møller & Svend-Erik SkaaningChapter 20: Measurement Models - Christopher Fariss, Michael Kenwick & Kevin Reuning Chapter 21: Measuring Attitudes – Multilevel Modeling with Post-Strati?cation (MrP) - Leemann Lucas & Fabio Wasserfallen Part 4: Large-Scale Data Collection & Representation MethodsChapter 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 EddyChapter 25: Visualizing data in political science - Richard TraunmüllerChapter 26: Text as data: an overview - Ken Benoit Chapter 27: Scaling Political Positions from Text: Assumptions, Methods and Pitfalls - Benjamin Carl Krag Egerod & Robert KlemmensenChapter 28: Classification and Clustering - Sarah B. BouchatChapter 29: Sentiment analysis and social media - Luigi Curini & Robert FaheyChapter 30: Big Relational Data: Network-Analytic Measurement - Ernesto Calvo, Joan Timoneda & Tiago VenturaPart 5: Quantitative-Empirical MethodsChapter 31: Econometric Modeling: From Measurement, Prediction, and Causal Inference to Causal Response Estimation - Robert FranzeseChapter 32: A Principle Approach to Time Series Analysis - Suzanna Linn & Clayton WebbChapter 33: Time-Series-Cross-Section Analysis - Vera TroegerChapter 34: Dynamic Systems of Equations - Mark Pickup Chapter 35: Duration Analysis - Kentaro FukumotoChapter 36: Multilevel Analysis - Marco SteenbergenChapter 37:Selection Bias in Political Science & International Relations Applications - Tobias Böhmelt & Gabriele SpilkerChapter 38: Dyadic Data Analysis - Eric Neumayer & Thomas Plümper Chapter 39: Model Specification and Spatial Interdependence - Scott J. Cook, Jude C. Hays & Robert J. FranzeseChapter 40: Instrumental variables: From structural equation models to design-based causal inference - Christopher L. Carter & Thad DunningChapter 41: Causality and Design-Based Inference - Jake Bowers & Thomas LeavittChapter 42: Statistical Matching with Time-Series Cross-Sectional Data: Magic, Malfeasance, or Something in Between? - Richard A. NielsenChapter 43: Differences-in-Differences: Neither Natural nor an Experiment - Luke KeeleChapter 44: The Regression Discontinuity Design - Matias D. Cattaneo, Rocío Titiunik & Gonzalo Vazquez-BareChapter 45: Network-Analysis: Theory and Testing - Jennifer Victor & Elsa T. KhwajaChapter 46: Network Modeling: Estimation, Inference, Comparison, and Selection - John P. Schoeneman & Bruce A. DesmaraisChapter 47: Bayesian Methods in Political Science - Jong Hee Park & Sooahn ShinChapter 48: Bayesian Ideal-Point Estimation - Shawn TreierChapter 49: Bayesian Model Selection, Model Comparison, and Model Averaging - Florian M. Hollenbach & Jacob M. MontgomeryChapter 50: Bayesian Modeling and Inference: A Postmodern Perspective - Jeff Gill & Simon HeubergerChapter 51: Laboratory Experimental Methods in Political Science - Rebecca Morton & Mateo Vásquez-CortésChapter 52: Field Experiments on the Frontier: Designing Better - Betsy SinclairChapter 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 MikhaylovChapter 56: Machine Learning in Political Science: Supervised Learning Models - Kelsey Shoub & Santiago OlivellaPart 6: Qualitative & “Mixed” MethodsChapter 57: Set theoretic methods - Adrian Du?a Chapter 58: Mixed-methods design - Imke Harbers & Matthew C. IngramChapter 59: Case study methods: case selection and case analysis - Chiara RuffaChapter 60: Comparative Analyses of Foreign Policy - Klaus BrummerChapter 61: When Talk Isn’t Cheap: Opportunities and Challenges in Interview Research - Claire Greenstein & Layna MosleyChapter 62: Focus Groups: From Qualitative Data Generation to Analysis - Virginie Van IngelgomChapter 63: Interpretive Approaches in Political Science and International Relations - Xymena Kurowska & Berit Bliesemann de Guevara