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

Number Of Volumes: 2

Luigi Curini - Università degli Studi di Milano

Robert Franzese - University of Michigan

Political Science & International Relations

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

April 2020 | 1332 pages | Sage UK

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ISBN: 9781526486400

Available from January 0001

Hardcover

ISBN: 9781526459930

Available from January 0001

Description

The SAGE Handbook of Research Methods in Political Science and International Relations offers a comprehensive overview of research processes in social science — from the ideation and design of research projects, through the construction of theoretical arguments, to conceptualization, measurement, & data collection, and quantitative & qualitative empirical analysis — exposited through 65 major new contributions from leading international methodologists.

Each chapter surveys, builds upon, and extends the modern state of the art in its area. Following through its six-part organization, undergraduate and graduate students, researchers and practicing academics will be guided through the design, methods, and analysis of issues in Political Science and International Relations:

Part One: Formulating Good Research Questions & Designing Good Research Projects

Part Two: Methods of Theoretical Argumentation

Part Three: Conceptualization & Measurement

Part Four: Large-Scale Data Collection & Representation Methods

Part Five: Quantitative-Empirical Methods

Part Six: Qualitative & “Mixed” Methods

Ch.24 Web scraping: challenges and potentialities

Ch.22 Measurement Models

Ch.10 Institutional Theory and Method

Ch.52 Experimental design & methods

Ch.59 Process tracing

Ch.33 Econometric Modeling: an overview

Ch.68 Conclusion of Some Sort

Ch.60 Set theoretic methods

Ch.49 Bayesian Ideal-Point Estimation

Ch.63 Comparative foreign policy analysis

Ch.66 Interpretive Approaches in Political Science and International Relations

Ch.17 Models of the Judiciary & Judicial Politics

Ch.64 Interview approaches

Ch.38 Selection Bias in Political Science & International Relations Applications

Ch.43 Statistical Matching: Magic, Malfeasance, or Something in Between?

Ch.09 Political Psychology, Sociology, & Social-Psychology

Ch.34 Time Series Analysis

Ch.50 Bayesian Model-Selection & Model-Averaging

Ch.36 Duration Analysis

Ch.26 Spatial data - GIS

Ch.25 Social Media as Data Generators

Ch.45: The Regression Discontinuity Design

Ch.56 Artificial Intelligence Methods for Political Science: Machine Learning, Deep Learning, Natural Language Processing

Ch.47 Network Modeling: Estimation, Inference, Comparison, and Selection

Ch.62 Case-study methods

Ch.61 Mixed-methods design

Ch.46 Network-Analysis: Theory and Testing

Ch.30 Classifying texts

Ch.44 Difference-in-Difference Designs

Ch.28 Text as data: an overview

Ch.54 Field Experimentation II

Ch.32 Relational Data: Network-Analytic Measurement

Ch.07 Notes & Advice from a Qualitative-Analyst

Ch.23 Survey Methods (classical & modern)

Ch.48 Bayesian Methods in Political Science: Overview

Ch.03 Notes & Advice from Formal Theorist

Ch.31 Sentiment analysis

Ch.21 Conceptualization & Measurement

Ch.02 Formulating Research Questions & Designing Research Projects in International Relations

Ch.27 Visualizing data in political science

Ch.16 Models of Interstate Conflict

Ch.57 Machine Learning in Political Science: Supervised Learning Models

Ch.08 Notes & Advice for EITM Research Projects

Ch.14 Veto-Bargaining Models

Ch.19 Simulation/Computational/Agent-Based Methods & Models

Ch.15 Models of Coalition Politics: Formation, Duration, Policymaking

Ch.12 The Spatial-Voting Model

Chapter X: Multivariate Time-Series & Dynamic Systems of Equations

Ch.20 Learning & Diffusion Models

So You're a Grad Student Now? Maybe You Should Do This

Preface: So You're a Grad Student Now? Maybe You Should Do This

Part 1: Formulating Good Research Questions & Designing Good Research Projects

Chapter 1: Asking Interesting Questions
Chapter 2: From Questions and Puzzles to Research Project
Chapter 3: The Simple, the Trivial, and the Insightful: Field Dispatches from a Formal Theorist
Chapter 4: Evidence-Driven Computational Modeling
Chapter 5: Taking Data Seriously in the Design of Data Science Projects
Chapter 6: Designing Qualitative Research Projects: Notes on Theory Building, Case Selection, and Field Research
Chapter 7: Theory Building for Causal Inference: EITM Research Projects
Chapter 8 EITM: Applications in Political Science and International Relations

Part 2: Methods of Theoretical Argumentation

Chapter 9: Political Psychology, Social Psychology and Behavioral Economics
Chapter 10: Institutional Theory and Method
Chapter 11: Applied Game Theory: An overview and first thoughts on the use of Game Theoretic Tools
Chapter 12: The Spatial-Voting Model
Chapter 13: New Directions in Veto Bargaining: Message Legislation, Virtue Signaling, and Electoral Accountability
Chapter 14: Models of Coalition Politics: Recent Developments and New Directions
Chapter 15: Models of Interstate Conflict
Chapter 16: Models of the Judiciary & Judicial Politics
Chapter 17: Wrestling with complexity in computational social science: theory, estimation, and representation
Chapter 18: Evaluating Approaches for Modeling Learning within Diffusion Episodes

Part 3: Conceptualization & Measurement

Chapter 19: Conceptualization and Measurement: Basic Distinctions and Guidelines
Chapter 20: Measurement Models
Chapter 21: Measuring Attitudes – Multilevel Modeling with Post-Strati?cation (MrP)

Part 4: Large-Scale Data Collection & Representation Methods

Chapter 22: Web data collection: Potentials and challenges
Chapter 23: How to Use Social Media Data for Political Science Research
Chapter 24: Spatial data
Chapter 25: Visualizing data in political science
Chapter 26: Text as data: an overview
Chapter 27: Scaling Political Positions from Text: Assumptions, Methods and Pitfalls
Chapter 28: Classification and Clustering
Chapter 29: Sentiment analysis and social media
Chapter 30: Big Relational Data: Network-Analytic Measurement

Part 5: Quantitative-Empirical Methods

Chapter 31: Econometric Modeling: From Measurement, Prediction, and Causal Inference to Causal Response Estimation
Chapter 32: A Principle Approach to Time Series Analysis
Chapter 33: Time-Series-Cross-Section Analysis
Chapter 34: Dynamic Systems of Equations
Chapter 35: Duration Analysis
Chapter 36: Multilevel Analysis
Chapter 37:Selection Bias in Political Science & International Relations Applications
Chapter 38: Dyadic Data Analysis
Chapter 39: Model Specification and Spatial Interdependence
Chapter 40: Instrumental variables: From structural equation models to design-based causal inference
Chapter 41: Causality and Design-Based Inference
Chapter 42: Statistical Matching with Time-Series Cross-Sectional Data: Magic, Malfeasance, or Something in Between?
Chapter 43: Differences-in-Differences: Neither Natural nor an Experiment
Chapter 44: The Regression Discontinuity Design
Chapter 45: Network-Analysis: Theory and Testing
Chapter 46: Network Modeling: Estimation, Inference, Comparison, and Selection
Chapter 47: Bayesian Methods in Political Science
Chapter 48: Bayesian Ideal-Point Estimation
Chapter 49: Bayesian Model Selection, Model Comparison, and Model Averaging
Chapter 50: Bayesian Modeling and Inference: A Postmodern Perspective
Chapter 51: Laboratory Experimental Methods in Political Science
Chapter 52: Field Experiments on the Frontier: Designing Better
Chapter 53: Field Experiments, Theory, and External Validity
Chapter 54: Survey Experiments and the Quest for Valid Interpretation
Chapter 55: Deep Learning for Political Science
Chapter 56: Machine Learning in Political Science: Supervised Learning Models

Part 6: Qualitative & “Mixed” Methods

Chapter 57: Set theoretic methods
Chapter 58: Mixed-methods design
Chapter 59: Case study methods: case selection and case analysis
Chapter 60: Comparative Analyses of Foreign Policy
Chapter 61: When Talk Isn’t Cheap: Opportunities and Challenges in Interview Research
Chapter 62: Focus Groups: From Qualitative Data Generation to Analysis
Chapter 63: Interpretive Approaches in Political Science and International Relations

Resources

Click for online resources

https://study.sagepub.com/curiniandfranzese

Description

Part One: Formulating Good Research Questions & Designing Good Research Projects

Part Two: Methods of Theoretical Argumentation

Part Three: Conceptualization & Measurement

Part Four: Large-Scale Data Collection & Representation Methods

Part Five: Quantitative-Empirical Methods

Part Six: Qualitative & “Mixed” Methods

Ch.24 Web scraping: challenges and potentialities

Ch.22 Measurement Models

Ch.10 Institutional Theory and Method

Ch.52 Experimental design & methods

Ch.59 Process tracing

Ch.33 Econometric Modeling: an overview

Ch.68 Conclusion of Some Sort

Ch.60 Set theoretic methods

Ch.49 Bayesian Ideal-Point Estimation

Ch.63 Comparative foreign policy analysis

Ch.66 Interpretive Approaches in Political Science and International Relations

Ch.17 Models of the Judiciary & Judicial Politics

Ch.64 Interview approaches

Ch.38 Selection Bias in Political Science & International Relations Applications

Ch.43 Statistical Matching: Magic, Malfeasance, or Something in Between?

Ch.09 Political Psychology, Sociology, & Social-Psychology

Ch.34 Time Series Analysis

Ch.50 Bayesian Model-Selection & Model-Averaging

Ch.36 Duration Analysis

Ch.26 Spatial data - GIS

Ch.25 Social Media as Data Generators

Ch.45: The Regression Discontinuity Design

Ch.56 Artificial Intelligence Methods for Political Science: Machine Learning, Deep Learning, Natural Language Processing

Ch.47 Network Modeling: Estimation, Inference, Comparison, and Selection

Ch.62 Case-study methods

Ch.61 Mixed-methods design

Ch.46 Network-Analysis: Theory and Testing

Ch.30 Classifying texts

Ch.44 Difference-in-Difference Designs

Ch.28 Text as data: an overview

Ch.54 Field Experimentation II

Ch.32 Relational Data: Network-Analytic Measurement

Ch.07 Notes & Advice from a Qualitative-Analyst

Ch.23 Survey Methods (classical & modern)

Ch.48 Bayesian Methods in Political Science: Overview

Ch.03 Notes & Advice from Formal Theorist

Ch.31 Sentiment analysis

Ch.21 Conceptualization & Measurement

Ch.02 Formulating Research Questions & Designing Research Projects in International Relations

Ch.27 Visualizing data in political science

Ch.16 Models of Interstate Conflict

Ch.57 Machine Learning in Political Science: Supervised Learning Models

Ch.08 Notes & Advice for EITM Research Projects

Ch.14 Veto-Bargaining Models

Ch.19 Simulation/Computational/Agent-Based Methods & Models

Ch.15 Models of Coalition Politics: Formation, Duration, Policymaking

Ch.12 The Spatial-Voting Model

Chapter X: Multivariate Time-Series & Dynamic Systems of Equations

Ch.20 Learning & Diffusion Models

So You're a Grad Student Now? Maybe You Should Do This

Preface: So You're a Grad Student Now? Maybe You Should Do This

Part 1: Formulating Good Research Questions & Designing Good Research Projects

Chapter 1: Asking Interesting Questions
Chapter 2: From Questions and Puzzles to Research Project
Chapter 3: The Simple, the Trivial, and the Insightful: Field Dispatches from a Formal Theorist
Chapter 4: Evidence-Driven Computational Modeling
Chapter 5: Taking Data Seriously in the Design of Data Science Projects
Chapter 6: Designing Qualitative Research Projects: Notes on Theory Building, Case Selection, and Field Research
Chapter 7: Theory Building for Causal Inference: EITM Research Projects
Chapter 8 EITM: Applications in Political Science and International Relations

Part 2: Methods of Theoretical Argumentation

Chapter 9: Political Psychology, Social Psychology and Behavioral Economics
Chapter 10: Institutional Theory and Method
Chapter 11: Applied Game Theory: An overview and first thoughts on the use of Game Theoretic Tools
Chapter 12: The Spatial-Voting Model
Chapter 13: New Directions in Veto Bargaining: Message Legislation, Virtue Signaling, and Electoral Accountability
Chapter 14: Models of Coalition Politics: Recent Developments and New Directions
Chapter 15: Models of Interstate Conflict
Chapter 16: Models of the Judiciary & Judicial Politics
Chapter 17: Wrestling with complexity in computational social science: theory, estimation, and representation
Chapter 18: Evaluating Approaches for Modeling Learning within Diffusion Episodes

Part 3: Conceptualization & Measurement

Chapter 19: Conceptualization and Measurement: Basic Distinctions and Guidelines
Chapter 20: Measurement Models
Chapter 21: Measuring Attitudes – Multilevel Modeling with Post-Strati?cation (MrP)

Part 4: Large-Scale Data Collection & Representation Methods

Chapter 22: Web data collection: Potentials and challenges
Chapter 23: How to Use Social Media Data for Political Science Research
Chapter 24: Spatial data
Chapter 25: Visualizing data in political science
Chapter 26: Text as data: an overview
Chapter 27: Scaling Political Positions from Text: Assumptions, Methods and Pitfalls
Chapter 28: Classification and Clustering
Chapter 29: Sentiment analysis and social media
Chapter 30: Big Relational Data: Network-Analytic Measurement

Part 5: Quantitative-Empirical Methods

Chapter 31: Econometric Modeling: From Measurement, Prediction, and Causal Inference to Causal Response Estimation
Chapter 32: A Principle Approach to Time Series Analysis
Chapter 33: Time-Series-Cross-Section Analysis
Chapter 34: Dynamic Systems of Equations
Chapter 35: Duration Analysis
Chapter 36: Multilevel Analysis
Chapter 37:Selection Bias in Political Science & International Relations Applications
Chapter 38: Dyadic Data Analysis
Chapter 39: Model Specification and Spatial Interdependence
Chapter 40: Instrumental variables: From structural equation models to design-based causal inference
Chapter 41: Causality and Design-Based Inference
Chapter 42: Statistical Matching with Time-Series Cross-Sectional Data: Magic, Malfeasance, or Something in Between?
Chapter 43: Differences-in-Differences: Neither Natural nor an Experiment
Chapter 44: The Regression Discontinuity Design
Chapter 45: Network-Analysis: Theory and Testing
Chapter 46: Network Modeling: Estimation, Inference, Comparison, and Selection
Chapter 47: Bayesian Methods in Political Science
Chapter 48: Bayesian Ideal-Point Estimation
Chapter 49: Bayesian Model Selection, Model Comparison, and Model Averaging
Chapter 50: Bayesian Modeling and Inference: A Postmodern Perspective
Chapter 51: Laboratory Experimental Methods in Political Science
Chapter 52: Field Experiments on the Frontier: Designing Better
Chapter 53: Field Experiments, Theory, and External Validity
Chapter 54: Survey Experiments and the Quest for Valid Interpretation
Chapter 55: Deep Learning for Political Science
Chapter 56: Machine Learning in Political Science: Supervised Learning Models

Part 6: Qualitative & “Mixed” Methods

Chapter 57: Set theoretic methods
Chapter 58: Mixed-methods design
Chapter 59: Case study methods: case selection and case analysis
Chapter 60: Comparative Analyses of Foreign Policy
Chapter 61: When Talk Isn’t Cheap: Opportunities and Challenges in Interview Research
Chapter 62: Focus Groups: From Qualitative Data Generation to Analysis
Chapter 63: Interpretive Approaches in Political Science and International Relations

Resources

Click for online resources

https://study.sagepub.com/curiniandfranzese

Reviews

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 cas... Press enter to read the full quote (will open a modal popup)
Anna Grzymala-Busse, Michelle and Kevin Douglas Professor of International Studies, Stanford University
This is an extraordinarily comprehensive handbook on the current state of the art in research methods for political science. The roster of authors is both stellar and ext... Press enter to read the full quote (will open a modal popup)
Michael Laver, Professor of Politics, New York University
Since the dawn of the twenty-first century there has been an explosion of methods in the social and natural sciences. As data has gotten bigger and bigger, we have been d... Press enter to read the full quote (will open a modal popup)
James Fowler, Professor, Political Science Department, University of California, San Diego
This handbook provides the reader with a very broad overview of research methods in political science. With chapters authored by notable senior and junior methodologists ... Press enter to read the full quote (will open a modal popup)
Claudius Wagemann, Professor of Political Sciences, Goethe University
This is a very impressive and broad collection of authors and essays. This book will be my, and my students’, first stop in exploring any topic in political methodology. ... Press enter to read the full quote (will open a modal popup)
John Jackson, M. Kent Jennings Collegiate Professor and Professor Emeritus, College of Literature, Science and the Arts, University of Michigan
The Sage Handbook of Research Methods in Political Science and International Relations has wide coverage from leading scholars and practitioners. There is definitely some... Press enter to read the full quote (will open a modal popup)
Janet Box-Steffensmeier, Vernal Riffe Professor of Political Science and Professor of Sociology, The Ohio State University

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

Luigi Curini , Robert Franzese

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April 2020 | 1332 pages | Sage UK

Format	Published Date	ISBN	Price
Hardcover	31/03/2026	9781526459930	$496.00
180 Day Ebook	28/03/2023	9781526486400	$206.00
Lifetime	28/03/2023	9781526486400	$298.00

Part One: Formulating Good Research Questions & Designing Good Research Projects

Part Two: Methods of Theoretical Argumentation

Part Three: Conceptualization & Measurement

Part Four: Large-Scale Data Collection & Representation Methods

Part Five: Quantitative-Empirical Methods

Part Six: Qualitative & “Mixed” Methods

Ch.24 Web scraping: challenges and potentialities
Ch.22 Measurement Models
Ch.10 Institutional Theory and Method
Ch.52 Experimental design & methods
Ch.59 Process tracing
Ch.33 Econometric Modeling: an overview
Ch.68 Conclusion of Some Sort
Ch.60 Set theoretic methods
Ch.49 Bayesian Ideal-Point Estimation
Ch.63 Comparative foreign policy analysis
Ch.66 Interpretive Approaches in Political Science and International Relations
Ch.17 Models of the Judiciary & Judicial Politics
Ch.64 Interview approaches
Ch.38 Selection Bias in Political Science & International Relations Applications
Ch.43 Statistical Matching: Magic, Malfeasance, or Something in Between?
Ch.09 Political Psychology, Sociology, & Social-Psychology
Ch.34 Time Series Analysis
Ch.50 Bayesian Model-Selection & Model-Averaging
Ch.36 Duration Analysis
Ch.26 Spatial data - GIS
Ch.25 Social Media as Data Generators
Ch.45: The Regression Discontinuity Design
Ch.56 Artificial Intelligence Methods for Political Science: Machine Learning, Deep Learning, Natural Language Processing
Ch.47 Network Modeling: Estimation, Inference, Comparison, and Selection
Ch.62 Case-study methods
Ch.61 Mixed-methods design
Ch.46 Network-Analysis: Theory and Testing
Ch.30 Classifying texts
Ch.44 Difference-in-Difference Designs
Ch.28 Text as data: an overview
Ch.54 Field Experimentation II
Ch.32 Relational Data: Network-Analytic Measurement
Ch.07 Notes & Advice from a Qualitative-Analyst
Ch.23 Survey Methods (classical & modern)
Ch.48 Bayesian Methods in Political Science: Overview
Ch.03 Notes & Advice from Formal Theorist
Ch.31 Sentiment analysis
Ch.21 Conceptualization & Measurement
Ch.02 Formulating Research Questions & Designing Research Projects in International Relations
Ch.27 Visualizing data in political science
Ch.16 Models of Interstate Conflict
Ch.57 Machine Learning in Political Science: Supervised Learning Models
Ch.08 Notes & Advice for EITM Research Projects
Ch.14 Veto-Bargaining Models
Ch.19 Simulation/Computational/Agent-Based Methods & Models
Ch.15 Models of Coalition Politics: Formation, Duration, Policymaking
Ch.12 The Spatial-Voting Model
Chapter X: Multivariate Time-Series & Dynamic Systems of Equations
Ch.20 Learning & Diffusion Models
So You're a Grad Student Now? Maybe You Should Do This
Preface: So You're a Grad Student Now? Maybe You Should Do This
Part 1: Formulating Good Research Questions & Designing Good Research Projects
Chapter 1: Asking Interesting Questions
Chapter 2: From Questions and Puzzles to Research Project
Chapter 3: The Simple, the Trivial, and the Insightful: Field Dispatches from a Formal Theorist
Chapter 4: Evidence-Driven Computational Modeling
Chapter 5: Taking Data Seriously in the Design of Data Science Projects
Chapter 6: Designing Qualitative Research Projects: Notes on Theory Building, Case Selection, and Field Research
Chapter 7: Theory Building for Causal Inference: EITM Research Projects
Chapter 8 EITM: Applications in Political Science and International Relations
Part 2: Methods of Theoretical Argumentation
Chapter 9: Political Psychology, Social Psychology and Behavioral Economics
Chapter 10: Institutional Theory and Method
Chapter 11: Applied Game Theory: An overview and first thoughts on the use of Game Theoretic Tools
Chapter 12: The Spatial-Voting Model
Chapter 13: New Directions in Veto Bargaining: Message Legislation, Virtue Signaling, and Electoral Accountability
Chapter 14: Models of Coalition Politics: Recent Developments and New Directions
Chapter 15: Models of Interstate Conflict
Chapter 16: Models of the Judiciary & Judicial Politics
Chapter 17: Wrestling with complexity in computational social science: theory, estimation, and representation
Chapter 18: Evaluating Approaches for Modeling Learning within Diffusion Episodes
Part 3: Conceptualization & Measurement
Chapter 19: Conceptualization and Measurement: Basic Distinctions and Guidelines
Chapter 20: Measurement Models
Chapter 21: Measuring Attitudes – Multilevel Modeling with Post-Strati?cation (MrP)
Part 4: Large-Scale Data Collection & Representation Methods
Chapter 22: Web data collection: Potentials and challenges
Chapter 23: How to Use Social Media Data for Political Science Research
Chapter 24: Spatial data
Chapter 25: Visualizing data in political science
Chapter 26: Text as data: an overview
Chapter 27: Scaling Political Positions from Text: Assumptions, Methods and Pitfalls
Chapter 28: Classification and Clustering
Chapter 29: Sentiment analysis and social media
Chapter 30: Big Relational Data: Network-Analytic Measurement
Part 5: Quantitative-Empirical Methods
Chapter 31: Econometric Modeling: From Measurement, Prediction, and Causal Inference to Causal Response Estimation
Chapter 32: A Principle Approach to Time Series Analysis
Chapter 33: Time-Series-Cross-Section Analysis
Chapter 34: Dynamic Systems of Equations
Chapter 35: Duration Analysis
Chapter 36: Multilevel Analysis
Chapter 37:Selection Bias in Political Science & International Relations Applications
Chapter 38: Dyadic Data Analysis
Chapter 39: Model Specification and Spatial Interdependence
Chapter 40: Instrumental variables: From structural equation models to design-based causal inference
Chapter 41: Causality and Design-Based Inference
Chapter 42: Statistical Matching with Time-Series Cross-Sectional Data: Magic, Malfeasance, or Something in Between?
Chapter 43: Differences-in-Differences: Neither Natural nor an Experiment
Chapter 44: The Regression Discontinuity Design
Chapter 45: Network-Analysis: Theory and Testing
Chapter 46: Network Modeling: Estimation, Inference, Comparison, and Selection
Chapter 47: Bayesian Methods in Political Science
Chapter 48: Bayesian Ideal-Point Estimation
Chapter 49: Bayesian Model Selection, Model Comparison, and Model Averaging
Chapter 50: Bayesian Modeling and Inference: A Postmodern Perspective
Chapter 51: Laboratory Experimental Methods in Political Science
Chapter 52: Field Experiments on the Frontier: Designing Better
Chapter 53: Field Experiments, Theory, and External Validity
Chapter 54: Survey Experiments and the Quest for Valid Interpretation
Chapter 55: Deep Learning for Political Science
Chapter 56: Machine Learning in Political Science: Supervised Learning Models
Part 6: Qualitative & “Mixed” Methods
Chapter 57: Set theoretic methods
Chapter 58: Mixed-methods design
Chapter 59: Case study methods: case selection and case analysis
Chapter 60: Comparative Analyses of Foreign Policy
Chapter 61: When Talk Isn’t Cheap: Opportunities and Challenges in Interview Research
Chapter 62: Focus Groups: From Qualitative Data Generation to Analysis
Chapter 63: Interpretive Approaches in Political Science and International Relations

Recent Product Reviews:

The Sage Handbook of Research Methods in Political Science and International Relations has wide coverage from leading scholars and practitioners. There is definitely something for everyone to learn while emphasizing accessibility for all as well.

Janet Box-Steffensmeier, Vernal Riffe Professor of Political Science and Professor of Sociology, The Ohio State University

This is a very impressive and broad collection of authors and essays. This book will be my, and my students’, first stop in exploring any topic in political methodology. The editors provide an important service to the discipline.

John Jackson, M. Kent Jennings Collegiate Professor and Professor Emeritus, College of Literature, Science and the Arts, University of Michigan

This handbook provides the reader with a very broad overview of research methods in political science. With chapters authored by notable senior and junior methodologists and applicants, it does not only cover a wide range of techniques, but also places methods within their context, such as research designs. This book is an excellent companion for researchers of all steps of their career who are about to find their way through the jungle of methodological offers.

Claudius Wagemann, Professor of Political Sciences, Goethe University

Since the dawn of the twenty-first century there has been an explosion of methods in the social and natural sciences. As data has gotten bigger and bigger, we have been developing new tools to acquire, analyze, and synthesize all these bits and bytes, and this has led to nothing short of a revolution in political science. The very leaders of this revolution have come together in these volumes to show the way, with both deep insight and engaging connections to the biggest substantive problems of our day. This is literally the dream team of political science, and they are explaining in plain language exactly how to live on the cutting edge. As someone deeply committed to both learning and teaching new methods, I can't think of another book I would rather have on my shelf.

James Fowler, Professor, Political Science Department, University of California, San Diego

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.

Anna Grzymala-Busse, Michelle and Kevin Douglas Professor of International Studies, Stanford University

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

Description

Contents

Resources

Description

Contents

Ch.24 Web scraping: challenges and potentialities

Ch.24 Web scraping: challenges and potentialities

Ch.22 Measurement Models

Ch.22 Measurement Models

Ch.10 Institutional Theory and Method

Ch.10 Institutional Theory and Method

Ch.52 Experimental design & methods

Ch.52 Experimental design & methods

Ch.59 Process tracing

Ch.59 Process tracing

Ch.33 Econometric Modeling: an overview

Ch.33 Econometric Modeling: an overview

Ch.68 Conclusion of Some Sort

Ch.68 Conclusion of Some Sort

Ch.60 Set theoretic methods

Ch.60 Set theoretic methods

Ch.49 Bayesian Ideal-Point Estimation

Ch.49 Bayesian Ideal-Point Estimation

Ch.63 Comparative foreign policy analysis

Ch.63 Comparative foreign policy analysis

Ch.66 Interpretive Approaches in Political Science and International Relations

Ch.66 Interpretive Approaches in Political Science and International Relations

Ch.17 Models of the Judiciary & Judicial Politics

Ch.17 Models of the Judiciary & Judicial Politics

Ch.64 Interview approaches

Ch.64 Interview approaches

Ch.38 Selection Bias in Political Science & International Relations Applications

Ch.38 Selection Bias in Political Science & International Relations Applications

Ch.43 Statistical Matching: Magic, Malfeasance, or Something in Between?

Ch.43 Statistical Matching: Magic, Malfeasance, or Something in Between?

Ch.09 Political Psychology, Sociology, & Social-Psychology

Ch.09 Political Psychology, Sociology, & Social-Psychology

Ch.34 Time Series Analysis

Ch.34 Time Series Analysis

Ch.50 Bayesian Model-Selection & Model-Averaging

Ch.50 Bayesian Model-Selection & Model-Averaging

Ch.36 Duration Analysis

Ch.36 Duration Analysis

Ch.26 Spatial data - GIS

Ch.26 Spatial data - GIS

Ch.25 Social Media as Data Generators

Ch.25 Social Media as Data Generators

Ch.45: The Regression Discontinuity Design

Ch.45: The Regression Discontinuity Design

Ch.56 Artificial Intelligence Methods for Political Science: Machine Learning, Deep Learning, Natural Language Processing

Ch.56 Artificial Intelligence Methods for Political Science: Machine Learning, Deep Learning, Natural Language Processing

Ch.47 Network Modeling: Estimation, Inference, Comparison, and Selection

Ch.47 Network Modeling: Estimation, Inference, Comparison, and Selection

Ch.62 Case-study methods

Ch.62 Case-study methods

Ch.61 Mixed-methods design

Ch.61 Mixed-methods design

Ch.46 Network-Analysis: Theory and Testing

Ch.46 Network-Analysis: Theory and Testing

Ch.30 Classifying texts

Ch.30 Classifying texts

Ch.44 Difference-in-Difference Designs

Ch.44 Difference-in-Difference Designs

Ch.28 Text as data: an overview

Ch.28 Text as data: an overview

Ch.54 Field Experimentation II

Ch.54 Field Experimentation II

Ch.32 Relational Data: Network-Analytic Measurement

Ch.32 Relational Data: Network-Analytic Measurement

Ch.07 Notes & Advice from a Qualitative-Analyst

Ch.07 Notes & Advice from a Qualitative-Analyst

Ch.23 Survey Methods (classical & modern)

Ch.23 Survey Methods (classical & modern)

Ch.48 Bayesian Methods in Political Science: Overview

Ch.48 Bayesian Methods in Political Science: Overview

Ch.03 Notes & Advice from Formal Theorist

Ch.03 Notes & Advice from Formal Theorist

Ch.31 Sentiment analysis

Ch.31 Sentiment analysis