Quantitative Research in Political Science

VOLUME ONE Part One: Introduction: The Challenges of and an Approach to Empirical Analysis in Social Science Multicausality, Context-Conditionality, and Endogeneity - Robert Franzese Puzzles, Proverbs, and Omega Matrices: The Scientific and Social Significance of Empirical Implications of Theoretical Models (EITM) - Jim Granato and Frank Scioli Statistical Backwards Induction: A Simple Method for Estimating Recursive Strategic Models - Muhammet Ali Bas, Curtis Signorino and Robert Walker Part Two: Measurement 2a. Measurement & Measurement Error, Missing Data: Toward Theories of Data: The State of Political Methodology - Christopher Achen Measurement - Simon Jackman Measurement Error across Disciplines - Robert Groves Enhancing the Validity and Cross-Cultural Comparability of Measurement in Survey Research - Gary King et al. Analyzing Incomplete Political Science Data: An Alternative Algorithm for Multiple Imputation - Gary King et al. 2b. Measurement Applications: Extract from Congress: A Political-Economic History of Roll Call Voting - Keith Poole and Howard Rosenthal Democracy as a Latent Variable - Simon Jackman and Shawn Treier Dynamic Representation - James Stimson, Michael MacKuen and Robert Erikson VOLUME TWO Part Three: The Foundational Multivariate-Regression Model and Models for Limited & Qualitative Dependent Variables 3a. Use & Interpretation of Multivariate-Regression Models: Elementary Regression Theory and Social Science Practice - Christopher Achen 3b. Use & Interpretation of Limited & Qualitative Dependent-Variable Models: Extracts from Unifying Political Methodology - Gary King Extracts from Generalized Linear Models - Jeff Gill Making the Most of Statistical Analyses: Improving Interpretation and Presentation - Gary King, Michael Tomz and Jason Wittenberg 3c. Estimation and Inference in the Bayesian Paradigm: Single-Parameter Models - Jeff Gill Pooling Disparate Observations - Larry Bartels Estimation and Inference Are Missing Data Problems: Unifying Social Science Statistics via Bayesian Simulation - Simon Jackman Part Four: Heterogeneity and Heterogeneous Effects 4a. Unit & Period "Fixed Effects": Dirty Pool - Donald Green, Soo Yeon Kim and David Yoon Throwing Out the Baby with the Bath Water: A Comment on Green, Kim, and Yoon - Nathaniel Beck and Jonathan Katz Problematic Choices: Testing for Correlated Unit Specific Effects in Panel Data - Vera Troeger VOLUME THREE 4b. Interaction & Nonlinear Models: Theory to Practice - Cindy Kam and Robert Franzese Multiple Hands on the Wheel: Empirically Modeling Partial Delegation and Shared Control of Monetary Policy in the Open and Institutionalized Economy - Robert Franzese 4c. Random-Coefficient/Hierarchical/Multilevel Models: Causal Heterogeneity in Comparative Research: A Bayesian Hierarchical Modelling Approach - Bruce Western Modeling Multilevel Data Structures - Marco Steenbergen and Bradford Jones Bayesian Multilevel Estimation with Poststratification: State-Level Estimates from National Polls - David Park, Andrew Gelman and Joseph Bafumi Part Five: Dynamic Models Selections 5a. Models for Temporal Dependence: Comparing Dynamic Specifications: The Case of Presidential Approval - Nathaniel Beck Taking Time Seriously - Suzanna De Boef and Luke Keele Taking Time Seriously: Time-Series-Cross-Section Analysis with a Binary Dependent Variable - Nathaniel Beck, Jonathan Katz and Richard Tucker Back to the Future: Modeling Time Dependence in Binary Data - David Carter and Curtis Signorino Time Is of the Essence: Event History Models in Political Science - Janet Box-Steffensmeier and Bradford Jones VOLUME FOUR 5b. Models for Cross-UnitInterdependence: Empirical Models of Spatial Interdependence - Robert Franzese and Jude Hays Network Analysis and Political Science - Michael Ward, Katherine Stovel and Audrey Sacks Inferential Network Analysis with Exponential Random Graph Models - Skyler Cranmer and Bruce Desmarais Spatial- and Spatiotemporal-Autoregressive Probit Models of Interdependent Binary Outcomes - Robert Franzese, Jude Hays and Scott Cook 5c. Models for Time-Series-Cross-Section and Panel Data: Regression in Space and Time: A Statistical Essay - James Stimson Estimating Dynamic Panel Data Models in Political Science - Gregory Wawro Modeling Dynamics in Time-Series-Cross-Section Political Economy Data - Nathaniel Beck and Jonathan Katz Beyond Fixed versus Random Effects: A Framework for Improving Substantive and Statistical Analysis of Panel, Time-Series Cross-Sectional, and Multilevel Data - Brandon Bartels Part Six: Endogeneity and Causal Inference Selections 6a. Instrumental-Variables Methods: Instrumental and 'Quasi-Instrumental' Variables - Larry Bartels Instrumental Variables Estimation in Political Science: A Readers' Guide - Allison Sovey and Donald Green Model Specification in Instrumental-Variables Regression - Thad Dunning VOLUME FIVE 6b. Full-Information Maximum-Likelihood (FIML) Methods: Endogeneity and Structural Equation Estimation in Political Science - John Jackson Interdependent Duration Models in Political Science - Jude Hays and Aya Kachi A Unified Statistical Model of Conflict Onset and Escalation - William Reed 6c. Temporal Ordering and Vector-Autoregressive Methods: Temporal Order and Causal Inference - Warren Miller Vector Autoregression and the Study of Politics - John Freeman, John Williams and Tse-min Lin Democratic Accountability in Open Economies - Thomas Sattler, Patrick Brandt and John Freeman 6d. Experimental Methods: Experimental Methods in Political Science - Rose McDermott Growth and Development of Experimental Research in Political Science - James Druckman et al. 6e. Matching Methods: Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference - Daniel Ho et al. Opiates for the Matches: Matching Methods for Causal Inference - Jasjeet Sekhon 6f. Discontinuity-Design Methods: Regression Discontinuity Design Analysis of the Incumbency Advantage and Tenure in the US House - Daniel Mark Butler Elections and the Regression Discontinuity Design: Lessons from Close US House Races, 1942-2008 - Devin Caughey and Jasjeet Sekhon 6g. Difference-in-Difference Methods: Inference with Difference-in-Differences and Other Panel Data - Stephen Donald and Kevin Lang