The SAGE Handbook of Research Methods in Political Science and International Relations (eBook, ePUB)

Redaktion: Curini, Luigi; Franzese, Robert

• Format: ePub

Produktbeschreibung

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

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Produktdetails

• Verlag: SAGE Publications
• Seitenzahl: 1332
• Erscheinungstermin: 27. April 2020
• Englisch
• ISBN-13: 9781526486400
• Artikelnr.: 68345988

Inhaltsangabe

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 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 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, 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 (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 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

Rezensionen

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 20191001