Tools, Techniques, and Traps: Latest Advances in Political Methology Research

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This page features compilations of links to data collections, authors, and journals for political science research on political methodology.

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Theory & Concepts:
The Essentials of Political Analysis, 6th Edition. Classic introductory text, clear writing, helps students learn, great ancillaries. More info.

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More Questions than Answers

Racial Segregation in American Prisons: How Widespread?
Racial segregation seems to be standard practice in prison. Prisoners are assigned to cells or cell block based on their race. Separating prisoners by race is deemed necessary for safety, […]

MORE QUESTIONS: Habeas Corpus Requirements Need Clarity

Effects of Using AI in Political Campaigns

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One-Way ANOVA (Single Factor) with Data Analysis Tools
From Todd Grande (12:02)

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Blogs, Podcasts & Journals

Political Analysis: .Academic journal featuring new ideas for the empirical analysis of politics.

Statistical Modeling, Causal Inference, and Social Science: .From Andrew Gelman and co-authors.

See All Political Science Podcasts

R Program Resources

Data Analytics
From Mark Gardener, resources for data analysis and especially in the use of R

R Package Documentation
A comprehensive index of R packages and documentation, tools to run code online and embed samples.

Zelig
Easy-to-use, free, open source, general purpose statistics program for estimating, interpreting, and presenting results from any statistical method.

Live R Code Demos
Sample uses of the R Statistics Program for political science research. From Barry Edwards, Political Science Data.

Dartistics: Digital Analytics with R and staTISTICS
A resource for digital analysts who are interested in learning or expanding their knowledge of R and statistics.

Rweb
A web-based interface to R

Show Me Shiney
A gallery of interactive R web apps.

See Live R Demos | Tutorial Videos

Authors with Datasets

Carlisle Rainey .

Jeff Gill .American University

Gary King .Harvard University

Kosuke Imai .

Alexander Coppock .

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Authors with Replication Dataall authors

Threat-Inducing Violent Events Exacerbate Social Desirability Bias in Survey Responses*Shane Singh; Jaroslav Tir (2023)	ANES Scales Often Don't Measure What You Think They MeasureMatthew Pietryka; Randall C. Macintosh (2022)	Detecting True Relationships in Time Series Data With Different Orders of IntegrationPeter K. Enns; Christopher Wlezien; Carolina Moehlecke (2022)	Separation and Rare EventsLiam Beiser-McGrath (2022)
Sponsorship Effects in Online SurveysHolger Kern; *Charles Crabtree; Matthew Pietryka (2022)	The Grapevine Effect in Sensitive Data Collection: Examining Response Patterns in Support for Violent ExtremismJohn F. McCauley; Steven E. Finkel; Michael Neureiter; Christopher Belasco (2022)	Transformed-Likelihood Estimators for Dynamic Panel Models with a Very Small TMark Pickup; Vincent Hopkins (2022)	A Duration Estimator for a Continuous Time War of Attrition Game*Frederick J. Boehmke; Charles R. Shipan; Douglas Dion (2021)
A Dynamic Model of Speech for the Social Sciences*Dean Knox; Christopher Lucas (2021)	A New Geography of Civil War: A Machine Learning Approach to Measuring the Zones of Armed ConflictsKyosuke Kikuta (2021)	Active Maintenance: A Proposal for the Long-term Computational Reproducibility of Scientific ResultsLimor Peer; Lilla Orr; *Alexander Coppock (2021)	Adaptive Experimental Design: Prospects and Applications in Political ScienceMolly Offer-Westort; Alexander Coppock; Donald P. Green (2021)
Addressing Monotone Likelihood in Duration Modeling of Political EventsNoel Anderson; Benjamin Bagozzi; Ore Koren (2021)	Analyzing Decision Records from CommitteesMoritz Marbach (2021)	Automated Dictionary Generation for Political Event CodingBenjamin J Radford (2021)	Beyond the Breaking Point? Survey Satisficing in Conjoint ExperimentsKirk Bansak; Jens Hainmueller; Dan Hopkins; Teppei Yamamoto (2021)
Corpus-Based Dictionaries for Sentiment Analysis of Specialized VocabulariesDouglas Rice; Christopher Zorn (2021)	Deliberative Archive For: The Qualitative Transparency Deliberations: Insights and ImplicationsAlan M. Jacobs; Tim Büthe (2021)	Estimating Logit Models with Small Samples*Carlisle Rainey; Kelly McCaskey (2021)	Ethics in Elite Experiments: A Perspective of Officials and VotersElin Naurin; Patrik Öhberg (2021)
Increasing Precision Without Altering Treatment Effects: Repeated Measures Designs in Survey Experiments*Scott Clifford; Geoffrey Sheagley; Spencer Piston (2021)	Interpretation: The Final Spatial FrontierGuy D. Whitten; *Laron K. Williams; Cameron Wimpy (2021)	Measuring Constituency Ideology Using Bayesian Universal Kriging*Jeff Gill (2021)	Measuring the Significance of Policy Outputs with Positive Unlabeled LearningRadoslaw Zubek; Abhishek Dasgupta; David Doyle (2021)
Mechanical Turk and the "Don't Know" OptionJeremy Pope (2021)	Missing the Target? Using Surveys to Validate Social Media Ad Targeting*Michael Sances (2021)	Modeling Heterogeneity in Pooled Event History AnalysisRebecca Kreitzer; Frederick Boehmke (2021)	Multilevel Analysis With Few Clusters: Improving Likelihood-based Methods to Provide Unbiased Estimates and Accurate InferenceMartin Elff; Jan Paul Heisig; Merlin Schaeffer; Susumu Shikano (2021)
Placebo Statements in List Experiments: Evidence from a Face-to-Face Survey in SingaporeGuillem Riambau; Kai Ostwald (2021)	Statistical Inference for Multilayer Networks in Political ScienceTed Hsuan Yun Chen (2021)	Using Screeners to Measure Respondent Attention on Self-Administered Surveys: Which Items and How Many?*Christopher Warshaw; Adam J. Berinsky; Michele F. Margolis; Michael W. Sances (2021)	A Regression Discontinuity Design for Studying Divided GovernmentPatricia Kirkland; Justin Phillips (2020)
A Textual Taylor Rule: Estimating Central Bank Preferences Combining Topic and Scaling MethodsNicole Rae Baerg; Will Lowe (2020)	Adjusting for Confounding with Text Matching*Margaret E. Roberts; Brandon M. Stewart; Richard A. Nielsen (2020)	Automated Text Analysis for Understanding Radical Activism: The Topical Agenda of the North American Animal Liberation MovementZack Almquist; Benjamin Bagozzi (2020)	Beyond the Hazard Ratio: Generating Expected Durations from the Cox Proportional Hazards ModelJonathan Kropko; *Jeffrey J. Harden (2020)
Beyond the Unit Root Question: Uncertainty and InferenceClayton Webb; Suzanna Linn; Matthew Lebo (2020)	Can We Reduce Deception in Elite Field Experiments? Evidence from a Field Experiment with State Legislative OfficesMichelangelo Landgrave (2020)	Causal Modeling with Multi-Value and Fuzzy-Set Coincidence AnalysisMichael Baumgartner; Mathias Ambühl (2020)	Defining Racial and Ethnic Context with Geolocation Data*Andrew Reeves; Ryan T. Moore (2020)
Estimating Controlled Direct Effects through Marginal Structural ModelsMichelle Torres (2020)	Fixed Effects in Rare Events Data: A Penalized Maximum Likelihood SolutionScott Cook; Jude Hays; Rob Franzese (2020)	Hard-to-Survey Populations and Respondent-Driven Sampling: Expanding the Political Science ToolboxRana B. Khoury (2020)	Measuring Networks in the Field*Jennifer Larson (2020)
News and Geolocated Social Media Accurately Measure Protest Size VariationAnton Sobolev; M. Keith Chen; Jungseock Joo; Zachary Steinert-Threlkeld (2020)	Online Coders, Open Codebooks: New Opportunities for Content Analysis of Political CommunicationNicholas J. G. Winter (2020)	Problems with Products? Control Strategies for Models with Interactive and Quadratic EffectsJanina Beiser-McGrath; Liam Beiser-McGrath (2020)	Quota Sampling Using Facebook AdvertisementsBaobao Zhang; Matto Mildenberger; Peter D. Howe; Jennifer Marlon; Seth Rosenthal; Anthony Leiserowitz (2020)
Recruiting Large Online Samples in the United States and India: Facebook, Mechanical Turk and QualtricsTaylor Boas; *Dino Christenson; David Glick (2020)	Spatial Interdependence and Instrumental Variable Modelsimm Betz; Scott J Cook; Florian Hollenbach (2020)	Spatial Tools for Case Selection: Using LISA Statistics to Design Mixed-Methods ResearchMatthew Ingram; Imke Harbers (2020)	Spatial Voting Meets Spatial Policy Positions: An Experimental AppraisalTanja Artiga Gonzalez; Georg D. Granic (2020)
The Fifty American States in Space and Time: Applying Conditionally Autoregressive ModelsJoshua L. Jackson; James E. Monogan III (2020)	The Sensitivity of Sensitivity AnalysisThomas Pluemper; Richard Traunmueller (2020)	The Shape of and Solutions to the MTurk Quality CrisisRyan Kennedy; *Scott Clifford; Tyler Burleigh; Philip Waggoner; Ryan Jewell; Nicholas Winter (2020)	When BLUE Is Not Best: Non-Normal Errors and the Linear Model.*Carlisle Rainey; Daniel Baissa (2020)
When Experts Disagree: Response Aggregation and Its Consequences in Expert SurveysJonathan Slapin; René Lindstädt; *Sven-Oliver Proksch (2020)	When the Whole is Greater Than the Sum of its Parts: On the Concept and Measurement of Populist Attitudes and Other Multi-dimensional ConstructsAlexander Wuttke; Christian Schimpf; Harald Schoen (2020)	When to Worry About Sensitivity Bias: A Social Reference Theory and Evidence from 30 Years of List ExperimentsGraeme Blair; Alexander Coppock; Margaret Moor (2020)	Assessing the Impact of Non-Random Measurement Error on Inference: A Sensitivity Analysis ApproachMax Gallop; *Simon Weschle (2019)
BARP: Improving Mister P With Bayesian Additive Regression TreesJames Bisbee (2019)	Bayesian Versus Maximum Likelihood Estimation of Treatment Effects in Bivariate Probit Instrumental Variable ModelsFlorian Hollenbach; Jacob M. Montgomery; Adriana Crespo-Tenorio (2019)	Comparing Dynamic Pies: A Strategy for Modeling Compositional Variables in Time and SpaceChristine S. Lipsmeyer; Andrew Q. Philips; Amanda Rutherford; Guy D. Whitten (2019)	Considering Network Effects in the Design and Analysis of Field Experiments on State Legislatures*Bruce Desmarais; Sayali Phadke (2019)
Declaring and Diagnosing Research DesignsGraeme Blair; Jasper Cooper; Alexander Coppock; Macartan Humphreys (2019)	Demand Effects in Survey Experiments: An Empirical Assessment*Erik Peterson; Jonathan Mummolo (2019)	Generalizing from Survey Experiments Conducted on Mechanical Turk: A Replication Approach*Alexander Coppock (2019)	How Face-to-Face Interviews and Cognitive Skill affect Item Non-response: A randomized experiment assigning mode of interviewLynn Vavreck; Andrew Gooch (2019)
How Newspapers Reveal Political PowerPamela Ban; Alexander Fouirnaies; Andrew B. Hall; James M. Snyder, Jr. (2019)	Lost in Aggregation: Improving Event Analysis with Report-Level DataScott Cook; Nils Weidmann (2019)	Lost in Space: Geolocation in Event DataSophie J. Lee; Howard Liu; Michael D. Ward (2019)	Measuring and Explaining Political Sophistication Through Textual Complexity*Kenneth Benoit (2019)
Modeling Related Processes with an Excess of ZerosDavid Carlson (2019)	Multilingual Sentiment Analysis: A New Approach to Measuring Conflict in Legislative Speeches*Sven-Oliver Proksch; Will Lowe; Jens Waeckerle; Stuart Soroka (2019)	No Harm in Checking: Using Factual Manipulation Checks to Assess Attentiveness in ExperimentsJohn V. Kane; Jason Barabas (2019)	Practical and Effective Approaches to Dealing with Clustered DataJustin Esarey; Andrew Menger (2019)
Punctuated Equilibrium or Incrementalism in Policymaking: What We Can and Cannot Learn from the Distribution of Policy Changes*Bruce Desmarais (2019)	Scraping Public Co-Occurrences for Statistical Network Analysis of Political ElitesPaasha Mahdavi (2019)	Simulating Duration Data for the Cox Model*Jeffrey J. Harden; Jonathan Kropko (2019)	The Credibility of Public and Private Signals: A Document-Based ApproachEric Min; Azusa Katagiri (2019)
The Measurement of Real-Time Perceptions of Financial Stress: Implications for Political ScienceChristopher Gandrud; Mark Hallerberg (2019)	The Prevalence and Severity of Underreporting Bias in Machine and Human Coded DataBenjamin Bagozzi; Patrick Brandt; John Freeman; Jennifer Holmes; Alisha Kim; Agustin Palao Mendizabal; Carly Potz-Nielsen (2019)	Theory and Methods in the Study of Distributive PoliticsMichael Albertus (2019)	Using a Probabilistic Model to Assist Merging of Large-scale Administrative RecordsTed Enamorado; Benjamin Fifield; *Kosuke Imai (2019)
What Makes Experts Reliable? Expert Reliability and the Estimation of Latent TraitsKyle Marquardt; Daniel Pemstein; Brigitte Seim; Yi-ting Wang (2019)	When Should We Use Unit Fixed Effects Regression Models for Causal Inference with Longitudinal Data?In Song Kim; *Kosuke Imai (2019)	An Equivalence Approach to Balance and Placebo TestsErin Hartman; F. Daniel Hidalgo (2018)	Assessing Threats to Inference with Simultaneous Sensitivity Analysis: The Case of U.S. Supreme Court Oral ArgumentsDaniel Lempert; Jeffrey Budziak (2018)
Comparing Strategies for Estimating Constituency Opinion from National Survey SamplesChris Hanretty; Ben Lauderdale; Nick Vivyan (2018)	Do We Really Know the WTO Cures Cancer?Stephen Chaudoin; Jude Hays; Raymond Hicks (2018)	Don't Know What You Got: A Bayesian Hierarchical Model of Neuroticism and NonresponseJonathan D. Klingler; Gary E. Hollibaugh; Adam J. Ramey (2018)	Enhancing Validity in Observational Settings When Replication is Not Possible*Christopher Fariss; Zachary Jones (2018)
Have Your Cake and Eat it Too? Cointegration and Dynamic Inference from Autoregressive Distributed Lag ModelsAndrew Philips (2018)	How Conditioning on Posttreatment Variables Can Ruin Your Experiment and What to Do about ItJacob M. Montgomery; *Brendan Nyhan; Michelle Torres (2018)	How to Make Causal Inferences With Time-Series Cross-Sectional Data Under Selection on ObservablesMatthew Blackwell; Adam Glynn (2018)	Improving the Interpretation of Fixed Effects Regression ResultsJonathan Mummolo; *Erik Peterson (2018)
Investigating Sequences in Ordinal Data: A New Approach with Adapted Evolutionary ModelsPatrik Lindenfors; Fredrik Jansson; Yi-ting Wang; *Staffan I. Lindberg (2018)	Omitted Variables, Countervailing Effects, and The Possibility of OveradjustmentKevin Clarke; Brenton Kenkel; Miguel Rueda (2018)	Quantifying Political Relationships*Simon Weschle (2018)	Regression Discontinuity Designs Based on Population Thresholds: Pitfalls and Solutions Veronica Grembi; Ronny Freier; Andrew C. Eggers; Tommaso Nannicini (2018)
Subjects and Scholars' Views on the Ethics of Political Science Field ExperimentsScott Desposato (2018)	The Impact of Party Cues on Manual Coding of Political TextsLaurenz Ennser-Jedenastik; Thomas M. Meyer (2018)	To Lag or Not to Lag? Re-evaluating the Use of Lagged Dependent Variables in Regression AnalysisArjun Wilkins (2018)	Tree-Based Models for Political Science Data Jacob M. Montgomery; Santiago Olivella (2018)
Unreliable Inferences About Unobserved Processes: A Critique of Partial Observability Models*Carlisle Rainey; Robert A. Jackson (2018)	A Pairwise Comparison Framework for Fast, Flexible, and Reliable Human Coding of Political TextsDavid Carlson; Jacob M. Montgomery (2017)	Bounding Causal Effects in Ecological Inference ProblemsAlejandro Corvalan; Emerson Melo; Robert Sherman; Matthew Shum (2017)	Computer-Assisted Keyword and Document Set Discovery from Unstructured TextGary King; Patrick Lam; Margaret E. Roberts (2017)
Differential Registration Bias in Voter File Data: A Sensitivity Analysis Approach*Brendan Nyhan; Christopher Skovron; Rocio Titiunik (2017)	Extending the Use and Prediction Precision of Subnational Public Opinion EstimationLucas Leemann; Fabio Wasserfallen (2017)	Front-door Difference-in-Differences EstimatorsAdam Glynn; Konstantin Kashin (2017)	Navigating the Range of Statistical Tools for Inferential Network AnalysisSkyler Cranmer; Philip Leifeld; Scott McClurg; Meredith Rolfe (2017)
Reading Between the Lines: Prediction of Political Violence Using Newspaper TextHannes Mueller; Christopher Rauh (2017)	Testing Social Science Network Theories With Online Network Data: An Evaluation of External ValidityJames Bisbee; *Jennifer Larson (2017)	The Balance-Sample Size Frontier in Matching Methods for Causal Inference*Gary King; Christopher Lucas; Richard Nielsen (2017)	The Difference Between Actual and Perceived Survey Measures and the Implications for Political Socialization ResearchJoris Boonen; Ellen Quintelier; Marc Hooghe (2017)
What to do about Atheoretic LagsSkyler Cranmer; Douglas Rice; Randolph Siverson (2017)	A Bayesian Approach to Dynamic Panel Models with Endogenous Rarely Changing VariablesTsung-han Tsai (2016)	An Empirical Validation Study of Popular Survey Methodologies for Sensitive QuestionsBryn Rosenfeld; *Kosuke Imai; Jacob Shapiro (2016)	Bias and Overconfidence in Parametric Models of Interactive ProcessesWilliam Berry; Jacqueline H.R. DeMeritt; Justin Esarey (2016)
Compression and Conditional Effects: A Product Term Is Essential When Using Logistic Regression to Test for Interaction*Carlisle Rainey (2016)	Does Regression Produce Representative Estimates of Causal Effects?Peter M. Aronow; Cyrus Samii (2016)	Dynamic Pie: A Strategy for Modeling Trade-Offs in Compositional Variables over TimeAndrew Philips; Amanda Rutherford; Guy D. Whitten (2016)	Fast Estimation of Ideal Points With Massive Data*Kosuke Imai; James Lo; Jonathan Olmsted (2016)
How Can We Estimate the Ideology of Citizens and Political Elites on the Same Scale?Stephen Jessee (2016)	Spatial- and Spatiotemporal-Autoregressive Probit Models of Interdependent Binary OutcomesRobert Franzese; Jude Hays; Scott Cook (2016)	An Effective Approach to the Repeated Cross-Sectional DesignMatthew Lebo; Christopher Weber (2015)	Comparative Politics and the Synthetic Control MethodAlberto Abadie; Alexis Diamond; *Jens Hainmueller (2015)
No News Is News: Non-Ignorable Non-Response in Roll-Call Data AnalysisGuillermo Rosas; Yael Shomer; Stephen Haptonstahl (2015)	On the Validity of the Regression Discontinuity Design for Estimating Electoral Effects: New Evidence from over 40,000 Close RacesAndrew C. Eggers; Anthony Fowler; Jens Hainmueller; *Andrew B. Hall; James M. Snyder, Jr. (2015)	Reassessing Schoenfeld Residual Tests of Proportional Hazards in Political Science Event History AnalysesSunhee Park; David Hendry (2015)	Testing What Matters (If You Must Test at All): A Context-Driven Approach to Substantive and Statistical SignificanceJustin Gross (2015)
Using Bayesian Aldrich-McKelvey Scaling to Study Citizens' Ideological Preferences and PerceptionsChristopher Hare; David A. Armstrong II ; Ryan Bakker; Royce Carroll; Keith T. Poole (2015)	Using Qualitative Information to Improve Causal InferenceAdam N. Glynn; Nahomi Ichino (2015)	Arguing for a Negligible Effect*Carlisle Rainey (2014)	Bootstrap Confidence Regions for Multidimensional Scaling SolutionsWilliam G. Jacoby; David A. Armstrong (2014)
Comparing and Combining List and Endorsement Experiments: Evidence from AfghanistanGraeme Blair; Kosuke Imai; *Jason Lyall (2014)	Separating the Shirkers from the Workers? Making Sure Respondents Pay Attention on Self-Administered SurveysAdam Berinsky; Michele F. Margolis; Michael W. Sances (2014)	Structural Topic Models for Open-Ended Survey Responses*Margaret E. Roberts; Brandon M. Stewart; Dustin Tingley; Christopher Lucas; Jetson Leder-Luis; Shana Kushner Gadarian; Bethany Albertson; David G. Rand (2014)	The Question(s) of Political KnowledgeJason Barabas; Jennifer Jerit; William Pollock; *Carlisle Rainey (2014)
Behind the Curve: Clarifying the Best Approach to Calculating Predicted Probabilities and Marginal Effects from Limited Dependent Variable ModelsMichael J. Hanmer; Kerem Ozan Kalkan (2013)	Deep Interactions With MRP: Election Turnout and Voting Patterns Among Small Electoral SubgroupsYair Ghitza; *Andrew Gelman (2013)	How Many Countries for Multilevel Modeling? A Comparison of Frequentist and Bayesian Approaches.Daniel Stegmueller (2013)	Don't Know Much about Democracy: Reporting Survey Data with Nonsubstantive ResponsesL.J Zigerell (2012)
Scaling Policy Preferences from Coded Political TextsWill Lowe; Kenneth Benoit; Slava Mikhaylov; Michael Laver (2011)	Unpacking the Black Box of Causality: Learning About Causal Mechanisms from Experimental and Observational StudiesKosuke Imai; Luke Keele; Dustin Tingley; Teppei Yamamoto (2011)	What to Do (and Not Do) with Multicollinearity in State Politics ResearchKevin Arceneaux; *Gregory Huber (2007)	The Statistical Analysis of Roll Call Data: A Unified ApproachJoshua Clinton; Simon Jackman; Doug Rivers (2004)
Improving Quantitative Studies of International Conflict: A ConjectureNathaniel Beck; *Gary King; Langche Zeng (2000)	A Statistical Model of Multiparty Electoral DataJonathan Katz; *Gary King (1999)

Threat-Inducing Violent Events Exacerbate Social Desirability Bias in Survey Responses*Shane Singh; Jaroslav Tir (2023)	ANES Scales Often Don't Measure What You Think They MeasureMatthew Pietryka; Randall C. Macintosh (2022)
Detecting True Relationships in Time Series Data With Different Orders of IntegrationPeter K. Enns; Christopher Wlezien; Carolina Moehlecke (2022)	Separation and Rare EventsLiam Beiser-McGrath (2022)
Sponsorship Effects in Online SurveysHolger Kern; *Charles Crabtree; Matthew Pietryka (2022)	The Grapevine Effect in Sensitive Data Collection: Examining Response Patterns in Support for Violent ExtremismJohn F. McCauley; Steven E. Finkel; Michael Neureiter; Christopher Belasco (2022)
Transformed-Likelihood Estimators for Dynamic Panel Models with a Very Small TMark Pickup; Vincent Hopkins (2022)	A Duration Estimator for a Continuous Time War of Attrition Game*Frederick J. Boehmke; Charles R. Shipan; Douglas Dion (2021)
A Dynamic Model of Speech for the Social Sciences*Dean Knox; Christopher Lucas (2021)	A New Geography of Civil War: A Machine Learning Approach to Measuring the Zones of Armed ConflictsKyosuke Kikuta (2021)
Active Maintenance: A Proposal for the Long-term Computational Reproducibility of Scientific ResultsLimor Peer; Lilla Orr; *Alexander Coppock (2021)	Adaptive Experimental Design: Prospects and Applications in Political ScienceMolly Offer-Westort; Alexander Coppock; Donald P. Green (2021)
Addressing Monotone Likelihood in Duration Modeling of Political EventsNoel Anderson; Benjamin Bagozzi; Ore Koren (2021)	Analyzing Decision Records from CommitteesMoritz Marbach (2021)
Automated Dictionary Generation for Political Event CodingBenjamin J Radford (2021)	Beyond the Breaking Point? Survey Satisficing in Conjoint ExperimentsKirk Bansak; Jens Hainmueller; Dan Hopkins; Teppei Yamamoto (2021)
Corpus-Based Dictionaries for Sentiment Analysis of Specialized VocabulariesDouglas Rice; Christopher Zorn (2021)	Deliberative Archive For: The Qualitative Transparency Deliberations: Insights and ImplicationsAlan M. Jacobs; Tim Büthe (2021)
Estimating Logit Models with Small Samples*Carlisle Rainey; Kelly McCaskey (2021)	Ethics in Elite Experiments: A Perspective of Officials and VotersElin Naurin; Patrik Öhberg (2021)
Increasing Precision Without Altering Treatment Effects: Repeated Measures Designs in Survey Experiments*Scott Clifford; Geoffrey Sheagley; Spencer Piston (2021)	Interpretation: The Final Spatial FrontierGuy D. Whitten; *Laron K. Williams; Cameron Wimpy (2021)
Measuring Constituency Ideology Using Bayesian Universal Kriging*Jeff Gill (2021)	Measuring the Significance of Policy Outputs with Positive Unlabeled LearningRadoslaw Zubek; Abhishek Dasgupta; David Doyle (2021)
Mechanical Turk and the "Don't Know" OptionJeremy Pope (2021)	Missing the Target? Using Surveys to Validate Social Media Ad Targeting*Michael Sances (2021)
Modeling Heterogeneity in Pooled Event History AnalysisRebecca Kreitzer; Frederick Boehmke (2021)	Multilevel Analysis With Few Clusters: Improving Likelihood-based Methods to Provide Unbiased Estimates and Accurate InferenceMartin Elff; Jan Paul Heisig; Merlin Schaeffer; Susumu Shikano (2021)
Placebo Statements in List Experiments: Evidence from a Face-to-Face Survey in SingaporeGuillem Riambau; Kai Ostwald (2021)	Statistical Inference for Multilayer Networks in Political ScienceTed Hsuan Yun Chen (2021)
Using Screeners to Measure Respondent Attention on Self-Administered Surveys: Which Items and How Many?*Christopher Warshaw; Adam J. Berinsky; Michele F. Margolis; Michael W. Sances (2021)	A Regression Discontinuity Design for Studying Divided GovernmentPatricia Kirkland; Justin Phillips (2020)
A Textual Taylor Rule: Estimating Central Bank Preferences Combining Topic and Scaling MethodsNicole Rae Baerg; Will Lowe (2020)	Adjusting for Confounding with Text Matching*Margaret E. Roberts; Brandon M. Stewart; Richard A. Nielsen (2020)
Automated Text Analysis for Understanding Radical Activism: The Topical Agenda of the North American Animal Liberation MovementZack Almquist; Benjamin Bagozzi (2020)	Beyond the Hazard Ratio: Generating Expected Durations from the Cox Proportional Hazards ModelJonathan Kropko; *Jeffrey J. Harden (2020)
Beyond the Unit Root Question: Uncertainty and InferenceClayton Webb; Suzanna Linn; Matthew Lebo (2020)	Can We Reduce Deception in Elite Field Experiments? Evidence from a Field Experiment with State Legislative OfficesMichelangelo Landgrave (2020)
Causal Modeling with Multi-Value and Fuzzy-Set Coincidence AnalysisMichael Baumgartner; Mathias Ambühl (2020)	Defining Racial and Ethnic Context with Geolocation Data*Andrew Reeves; Ryan T. Moore (2020)
Estimating Controlled Direct Effects through Marginal Structural ModelsMichelle Torres (2020)	Fixed Effects in Rare Events Data: A Penalized Maximum Likelihood SolutionScott Cook; Jude Hays; Rob Franzese (2020)
Hard-to-Survey Populations and Respondent-Driven Sampling: Expanding the Political Science ToolboxRana B. Khoury (2020)	Measuring Networks in the Field*Jennifer Larson (2020)
News and Geolocated Social Media Accurately Measure Protest Size VariationAnton Sobolev; M. Keith Chen; Jungseock Joo; Zachary Steinert-Threlkeld (2020)	Online Coders, Open Codebooks: New Opportunities for Content Analysis of Political CommunicationNicholas J. G. Winter (2020)
Problems with Products? Control Strategies for Models with Interactive and Quadratic EffectsJanina Beiser-McGrath; Liam Beiser-McGrath (2020)	Quota Sampling Using Facebook AdvertisementsBaobao Zhang; Matto Mildenberger; Peter D. Howe; Jennifer Marlon; Seth Rosenthal; Anthony Leiserowitz (2020)
Recruiting Large Online Samples in the United States and India: Facebook, Mechanical Turk and QualtricsTaylor Boas; *Dino Christenson; David Glick (2020)	Spatial Interdependence and Instrumental Variable Modelsimm Betz; Scott J Cook; Florian Hollenbach (2020)
Spatial Tools for Case Selection: Using LISA Statistics to Design Mixed-Methods ResearchMatthew Ingram; Imke Harbers (2020)	Spatial Voting Meets Spatial Policy Positions: An Experimental AppraisalTanja Artiga Gonzalez; Georg D. Granic (2020)
The Fifty American States in Space and Time: Applying Conditionally Autoregressive ModelsJoshua L. Jackson; James E. Monogan III (2020)	The Sensitivity of Sensitivity AnalysisThomas Pluemper; Richard Traunmueller (2020)
The Shape of and Solutions to the MTurk Quality CrisisRyan Kennedy; *Scott Clifford; Tyler Burleigh; Philip Waggoner; Ryan Jewell; Nicholas Winter (2020)	When BLUE Is Not Best: Non-Normal Errors and the Linear Model.*Carlisle Rainey; Daniel Baissa (2020)
When Experts Disagree: Response Aggregation and Its Consequences in Expert SurveysJonathan Slapin; René Lindstädt; *Sven-Oliver Proksch (2020)	When the Whole is Greater Than the Sum of its Parts: On the Concept and Measurement of Populist Attitudes and Other Multi-dimensional ConstructsAlexander Wuttke; Christian Schimpf; Harald Schoen (2020)
When to Worry About Sensitivity Bias: A Social Reference Theory and Evidence from 30 Years of List ExperimentsGraeme Blair; Alexander Coppock; Margaret Moor (2020)	Assessing the Impact of Non-Random Measurement Error on Inference: A Sensitivity Analysis ApproachMax Gallop; *Simon Weschle (2019)
BARP: Improving Mister P With Bayesian Additive Regression TreesJames Bisbee (2019)	Bayesian Versus Maximum Likelihood Estimation of Treatment Effects in Bivariate Probit Instrumental Variable ModelsFlorian Hollenbach; Jacob M. Montgomery; Adriana Crespo-Tenorio (2019)
Comparing Dynamic Pies: A Strategy for Modeling Compositional Variables in Time and SpaceChristine S. Lipsmeyer; Andrew Q. Philips; Amanda Rutherford; Guy D. Whitten (2019)	Considering Network Effects in the Design and Analysis of Field Experiments on State Legislatures*Bruce Desmarais; Sayali Phadke (2019)
Declaring and Diagnosing Research DesignsGraeme Blair; Jasper Cooper; Alexander Coppock; Macartan Humphreys (2019)	Demand Effects in Survey Experiments: An Empirical Assessment*Erik Peterson; Jonathan Mummolo (2019)
Generalizing from Survey Experiments Conducted on Mechanical Turk: A Replication Approach*Alexander Coppock (2019)	How Face-to-Face Interviews and Cognitive Skill affect Item Non-response: A randomized experiment assigning mode of interviewLynn Vavreck; Andrew Gooch (2019)
How Newspapers Reveal Political PowerPamela Ban; Alexander Fouirnaies; Andrew B. Hall; James M. Snyder, Jr. (2019)	Lost in Aggregation: Improving Event Analysis with Report-Level DataScott Cook; Nils Weidmann (2019)
Lost in Space: Geolocation in Event DataSophie J. Lee; Howard Liu; Michael D. Ward (2019)	Measuring and Explaining Political Sophistication Through Textual Complexity*Kenneth Benoit (2019)
Modeling Related Processes with an Excess of ZerosDavid Carlson (2019)	Multilingual Sentiment Analysis: A New Approach to Measuring Conflict in Legislative Speeches*Sven-Oliver Proksch; Will Lowe; Jens Waeckerle; Stuart Soroka (2019)
No Harm in Checking: Using Factual Manipulation Checks to Assess Attentiveness in ExperimentsJohn V. Kane; Jason Barabas (2019)	Practical and Effective Approaches to Dealing with Clustered DataJustin Esarey; Andrew Menger (2019)
Punctuated Equilibrium or Incrementalism in Policymaking: What We Can and Cannot Learn from the Distribution of Policy Changes*Bruce Desmarais (2019)	Scraping Public Co-Occurrences for Statistical Network Analysis of Political ElitesPaasha Mahdavi (2019)
Simulating Duration Data for the Cox Model*Jeffrey J. Harden; Jonathan Kropko (2019)	The Credibility of Public and Private Signals: A Document-Based ApproachEric Min; Azusa Katagiri (2019)
The Measurement of Real-Time Perceptions of Financial Stress: Implications for Political ScienceChristopher Gandrud; Mark Hallerberg (2019)	The Prevalence and Severity of Underreporting Bias in Machine and Human Coded DataBenjamin Bagozzi; Patrick Brandt; John Freeman; Jennifer Holmes; Alisha Kim; Agustin Palao Mendizabal; Carly Potz-Nielsen (2019)
Theory and Methods in the Study of Distributive PoliticsMichael Albertus (2019)	Using a Probabilistic Model to Assist Merging of Large-scale Administrative RecordsTed Enamorado; Benjamin Fifield; *Kosuke Imai (2019)
What Makes Experts Reliable? Expert Reliability and the Estimation of Latent TraitsKyle Marquardt; Daniel Pemstein; Brigitte Seim; Yi-ting Wang (2019)	When Should We Use Unit Fixed Effects Regression Models for Causal Inference with Longitudinal Data?In Song Kim; *Kosuke Imai (2019)
An Equivalence Approach to Balance and Placebo TestsErin Hartman; F. Daniel Hidalgo (2018)	Assessing Threats to Inference with Simultaneous Sensitivity Analysis: The Case of U.S. Supreme Court Oral ArgumentsDaniel Lempert; Jeffrey Budziak (2018)
Comparing Strategies for Estimating Constituency Opinion from National Survey SamplesChris Hanretty; Ben Lauderdale; Nick Vivyan (2018)	Do We Really Know the WTO Cures Cancer?Stephen Chaudoin; Jude Hays; Raymond Hicks (2018)
Don't Know What You Got: A Bayesian Hierarchical Model of Neuroticism and NonresponseJonathan D. Klingler; Gary E. Hollibaugh; Adam J. Ramey (2018)	Enhancing Validity in Observational Settings When Replication is Not Possible*Christopher Fariss; Zachary Jones (2018)
Have Your Cake and Eat it Too? Cointegration and Dynamic Inference from Autoregressive Distributed Lag ModelsAndrew Philips (2018)	How Conditioning on Posttreatment Variables Can Ruin Your Experiment and What to Do about ItJacob M. Montgomery; *Brendan Nyhan; Michelle Torres (2018)
How to Make Causal Inferences With Time-Series Cross-Sectional Data Under Selection on ObservablesMatthew Blackwell; Adam Glynn (2018)	Improving the Interpretation of Fixed Effects Regression ResultsJonathan Mummolo; *Erik Peterson (2018)
Investigating Sequences in Ordinal Data: A New Approach with Adapted Evolutionary ModelsPatrik Lindenfors; Fredrik Jansson; Yi-ting Wang; *Staffan I. Lindberg (2018)	Omitted Variables, Countervailing Effects, and The Possibility of OveradjustmentKevin Clarke; Brenton Kenkel; Miguel Rueda (2018)
Quantifying Political Relationships*Simon Weschle (2018)	Regression Discontinuity Designs Based on Population Thresholds: Pitfalls and Solutions Veronica Grembi; Ronny Freier; Andrew C. Eggers; Tommaso Nannicini (2018)
Subjects and Scholars' Views on the Ethics of Political Science Field ExperimentsScott Desposato (2018)	The Impact of Party Cues on Manual Coding of Political TextsLaurenz Ennser-Jedenastik; Thomas M. Meyer (2018)
To Lag or Not to Lag? Re-evaluating the Use of Lagged Dependent Variables in Regression AnalysisArjun Wilkins (2018)	Tree-Based Models for Political Science Data Jacob M. Montgomery; Santiago Olivella (2018)
Unreliable Inferences About Unobserved Processes: A Critique of Partial Observability Models*Carlisle Rainey; Robert A. Jackson (2018)	A Pairwise Comparison Framework for Fast, Flexible, and Reliable Human Coding of Political TextsDavid Carlson; Jacob M. Montgomery (2017)
Bounding Causal Effects in Ecological Inference ProblemsAlejandro Corvalan; Emerson Melo; Robert Sherman; Matthew Shum (2017)	Computer-Assisted Keyword and Document Set Discovery from Unstructured TextGary King; Patrick Lam; Margaret E. Roberts (2017)
Differential Registration Bias in Voter File Data: A Sensitivity Analysis Approach*Brendan Nyhan; Christopher Skovron; Rocio Titiunik (2017)	Extending the Use and Prediction Precision of Subnational Public Opinion EstimationLucas Leemann; Fabio Wasserfallen (2017)
Front-door Difference-in-Differences EstimatorsAdam Glynn; Konstantin Kashin (2017)	Navigating the Range of Statistical Tools for Inferential Network AnalysisSkyler Cranmer; Philip Leifeld; Scott McClurg; Meredith Rolfe (2017)
Reading Between the Lines: Prediction of Political Violence Using Newspaper TextHannes Mueller; Christopher Rauh (2017)	Testing Social Science Network Theories With Online Network Data: An Evaluation of External ValidityJames Bisbee; *Jennifer Larson (2017)
The Balance-Sample Size Frontier in Matching Methods for Causal Inference*Gary King; Christopher Lucas; Richard Nielsen (2017)	The Difference Between Actual and Perceived Survey Measures and the Implications for Political Socialization ResearchJoris Boonen; Ellen Quintelier; Marc Hooghe (2017)
What to do about Atheoretic LagsSkyler Cranmer; Douglas Rice; Randolph Siverson (2017)	A Bayesian Approach to Dynamic Panel Models with Endogenous Rarely Changing VariablesTsung-han Tsai (2016)
An Empirical Validation Study of Popular Survey Methodologies for Sensitive QuestionsBryn Rosenfeld; *Kosuke Imai; Jacob Shapiro (2016)	Bias and Overconfidence in Parametric Models of Interactive ProcessesWilliam Berry; Jacqueline H.R. DeMeritt; Justin Esarey (2016)
Compression and Conditional Effects: A Product Term Is Essential When Using Logistic Regression to Test for Interaction*Carlisle Rainey (2016)	Does Regression Produce Representative Estimates of Causal Effects?Peter M. Aronow; Cyrus Samii (2016)
Dynamic Pie: A Strategy for Modeling Trade-Offs in Compositional Variables over TimeAndrew Philips; Amanda Rutherford; Guy D. Whitten (2016)	Fast Estimation of Ideal Points With Massive Data*Kosuke Imai; James Lo; Jonathan Olmsted (2016)
How Can We Estimate the Ideology of Citizens and Political Elites on the Same Scale?Stephen Jessee (2016)	Spatial- and Spatiotemporal-Autoregressive Probit Models of Interdependent Binary OutcomesRobert Franzese; Jude Hays; Scott Cook (2016)
An Effective Approach to the Repeated Cross-Sectional DesignMatthew Lebo; Christopher Weber (2015)	Comparative Politics and the Synthetic Control MethodAlberto Abadie; Alexis Diamond; *Jens Hainmueller (2015)
No News Is News: Non-Ignorable Non-Response in Roll-Call Data AnalysisGuillermo Rosas; Yael Shomer; Stephen Haptonstahl (2015)	On the Validity of the Regression Discontinuity Design for Estimating Electoral Effects: New Evidence from over 40,000 Close RacesAndrew C. Eggers; Anthony Fowler; Jens Hainmueller; *Andrew B. Hall; James M. Snyder, Jr. (2015)
Reassessing Schoenfeld Residual Tests of Proportional Hazards in Political Science Event History AnalysesSunhee Park; David Hendry (2015)	Testing What Matters (If You Must Test at All): A Context-Driven Approach to Substantive and Statistical SignificanceJustin Gross (2015)
Using Bayesian Aldrich-McKelvey Scaling to Study Citizens' Ideological Preferences and PerceptionsChristopher Hare; David A. Armstrong II ; Ryan Bakker; Royce Carroll; Keith T. Poole (2015)	Using Qualitative Information to Improve Causal InferenceAdam N. Glynn; Nahomi Ichino (2015)
Arguing for a Negligible Effect*Carlisle Rainey (2014)	Bootstrap Confidence Regions for Multidimensional Scaling SolutionsWilliam G. Jacoby; David A. Armstrong (2014)
Comparing and Combining List and Endorsement Experiments: Evidence from AfghanistanGraeme Blair; Kosuke Imai; *Jason Lyall (2014)	Separating the Shirkers from the Workers? Making Sure Respondents Pay Attention on Self-Administered SurveysAdam Berinsky; Michele F. Margolis; Michael W. Sances (2014)
Structural Topic Models for Open-Ended Survey Responses*Margaret E. Roberts; Brandon M. Stewart; Dustin Tingley; Christopher Lucas; Jetson Leder-Luis; Shana Kushner Gadarian; Bethany Albertson; David G. Rand (2014)	The Question(s) of Political KnowledgeJason Barabas; Jennifer Jerit; William Pollock; *Carlisle Rainey (2014)
Behind the Curve: Clarifying the Best Approach to Calculating Predicted Probabilities and Marginal Effects from Limited Dependent Variable ModelsMichael J. Hanmer; Kerem Ozan Kalkan (2013)	Deep Interactions With MRP: Election Turnout and Voting Patterns Among Small Electoral SubgroupsYair Ghitza; *Andrew Gelman (2013)
How Many Countries for Multilevel Modeling? A Comparison of Frequentist and Bayesian Approaches.Daniel Stegmueller (2013)	Don't Know Much about Democracy: Reporting Survey Data with Nonsubstantive ResponsesL.J Zigerell (2012)
Scaling Policy Preferences from Coded Political TextsWill Lowe; Kenneth Benoit; Slava Mikhaylov; Michael Laver (2011)	Unpacking the Black Box of Causality: Learning About Causal Mechanisms from Experimental and Observational StudiesKosuke Imai; Luke Keele; Dustin Tingley; Teppei Yamamoto (2011)
What to Do (and Not Do) with Multicollinearity in State Politics ResearchKevin Arceneaux; *Gregory Huber (2007)	The Statistical Analysis of Roll Call Data: A Unified ApproachJoshua Clinton; Simon Jackman; Doug Rivers (2004)
Improving Quantitative Studies of International Conflict: A ConjectureNathaniel Beck; *Gary King; Langche Zeng (2000)	A Statistical Model of Multiparty Electoral DataJonathan Katz; *Gary King (1999)