The SAGE Handbook of Research Methods in Political Science and International Relations
1st Edition
Published on 23. April 2020
Book
Hardback
1332 pages
978-1-5264-5993-0 (ISBN)
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
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
Reviews / Votes
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 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 extensive. No single person knows this much about all this material. So all serious researchers can benefit from having this handbook on their shelves, whether to expand the scope of their own work or to enhance their reading of the work of others. -- Michael Laver 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 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 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 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-SteffensmeierMore details
Language
English
Place of publication
London
United Kingdom
Target group
Professional and scholarly
Dimensions
Height: 246 mm
Width: 184 mm
Weight
2634 gr
ISBN-13
978-1-5264-5993-0 (9781526459930)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Luigi Curini | Robert Franzese
The SAGE Handbook of Research Methods in Political Science and International Relations
E-Book
04/2020
1st Edition
SAGE Publications Ltd
€293.99
Available for download
Luigi Curini | Robert Franzese
The SAGE Handbook of Research Methods in Political Science and International Relations
E-Book
04/2020
1st Edition
SAGE Publications Ltd
€293.99
Available for download
Luigi Curini | Robert Franzese
The SAGE Handbook of Research Methods in Political Science and International Relations
E-Book
04/2020
1st Edition
SAGE Publications Ltd
€293.99
Available for download
Persons
Content
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 McCauley
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 Gonzalez Ocantos
Chapter 7: Theory Building for Causal Inference: EITM Research Projects - Thomas Braeuninger & 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 McDermott
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 LaCombe & Frederick J. Boehmke
Part 3: Conceptualization & Measurement
Chapter 19: Conceptualization and Measurement: Basic Distinctions and Guidelines - Gerardo L. Munck, Jorgen Moller & Svend-Erik Skaaning
Chapter 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 Methods
Chapter 22: Web data collection: Potentials and challenges - Dominic Nyhuis
Chapter 23: How to Use Social Media Data for Political Science Research - Pablo Barbera & Zachary C. Steinert-Threlkeld
Chapter 24: Spatial data - David Darmofal & Christopher Eddy
Chapter 25: Visualizing data in political science - Richard Traunmueller
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 Boehmelt & Gabriele Spilker
Chapter 38: Dyadic Data Analysis - Eric Neumayer & Thomas Pluemper
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, Rocio 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 Vasquez-Cortes
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
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 McCauley
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 Gonzalez Ocantos
Chapter 7: Theory Building for Causal Inference: EITM Research Projects - Thomas Braeuninger & 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 McDermott
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 LaCombe & Frederick J. Boehmke
Part 3: Conceptualization & Measurement
Chapter 19: Conceptualization and Measurement: Basic Distinctions and Guidelines - Gerardo L. Munck, Jorgen Moller & Svend-Erik Skaaning
Chapter 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 Methods
Chapter 22: Web data collection: Potentials and challenges - Dominic Nyhuis
Chapter 23: How to Use Social Media Data for Political Science Research - Pablo Barbera & Zachary C. Steinert-Threlkeld
Chapter 24: Spatial data - David Darmofal & Christopher Eddy
Chapter 25: Visualizing data in political science - Richard Traunmueller
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 Boehmelt & Gabriele Spilker
Chapter 38: Dyadic Data Analysis - Eric Neumayer & Thomas Pluemper
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, Rocio 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 Vasquez-Cortes
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