Research

Unpublished Papers

In-Progress

  • Rainey, Carlisle. “Hypothesis Tests Under Separation.” Conditionally accepted at Political Analysis. [Paper][GitHub] [OSF] [Dataverse]
  • Clifford, Scott, Thomas Leeper, and Carlisle Rainey. “Generalizing Survey Experiments Using Topic Sampling: Theory, Evaluations, and Extensions.” [Draft]
  • Rainey, Carlisle, Harley Roe, and Qing Wang. “A Latent Measure of Dissent.” [GitHub]

Published Papers

Forthcoming

  • Clifford, Scott, Thomas Leeper, and Carlisle Rainey. “Generalizing Survey Experiments Using Topic Sampling: An Application to Party Cues.” Forthcoming in Political Behavior. [Draft]
  • Rainey, Carlisle. “A Careful Consideration of CLARIFY: Simulation-Induced Bias in Point Estimates of Quantities of Interest.” Forthcoming in Political Science Research and Methods. [GitHub]

2021

  • McCaskey, Kelly and Carlisle Rainey. 2021 “Estimating Logit Models with Small Samples.” Political Science Research and Methods 9(3) 549-564. [Paper] [GitHub]

2020

  • Baissa, Daniel K. and Carlisle Rainey. 2020. “When BLUE Is Not Best: Non-Normal Errors and the Linear Model.” Political Science Research and Methods 8(1) 136-148. [Paper] [GitHub]

2018

  • Rainey, Carlisle and Robert Jackson. “Unreliable Inferences about Unobservable Processes: A Critique of Partial Observability Models.” Political Science Research and Methods 6(2): 381-391. [Paper] [Journal [GitHub]

2017

  • Rainey, Carlisle. 2017. “Transformation-Induced Bias: Unbiased Coefficients Do Not Imply Unbiased Quantities of Interest.” Political Analysis 25(3): 402-409. [Paper] [Journal] [Dataverse] [GitHub]

2016

  • Rainey, Carlisle. 2016. “Dealing with Separation in Logistic Regression Models.” Political Analysis. 24(3): 339-355. [Paper] [Journal] [Slides] [Appendix] [GitHub] [Software]
  • Rainey, Carlisle. 2016. “Compression and Conditional Effects: A Product Term Is Essential When Using Logistic Regression to Test for Interaction.” Political Science Research and Methods. 4(3): 621-639. [Paper] [Appendix] [Journal] [GitHub]
  • Rainey, Carlisle. 2016. “Does District Magnitude Matter: The Case of Taiwan.” Electoral Studies. 41: 202-212. [Paper] [Journal] [Dataverse] [GitHub]

2015

  • McCaskey, Kelly and Carlisle Rainey. 2015. “Substantive Importance and the Veil of Statistical Significance.” Statistics, Politics, and Policy 6(1-2): 77-96. [Paper] [Journal] [GitHub]
  • Clifford, Scott, Jennifer Jerit, Matt Motyl, and Carlisle Rainey. 2015. “Moral Concerns and Culture War Attitudes: Investigating the Influence of Elite Rhetoric.” Political Communication. 32(2): 229-248. [Paper] [Journal]
  • Rainey, Carlisle. 2015. “Strategic Mobilization: Why Proportional Representation Decreases Voter Mobilization.” Electoral Studies. 37(1): 86-98. [Paper] [Appendix] [Journal] [Dataverse] [GitHub]

2014

  • Rainey, Carlisle. 2014. “Arguing for a Negligible Effect.” American Journal of Political Science 58(4): 1083-1091. [Paper] [Appendix] [Journal] [Dataverse] [GitHub]
  • Barabas, Jason, Jennifer Jerit, William Pollock, and Carlisle Rainey. 2014. “The Question(s) of Political Knowledge.” American Political Science Review 108(4): 840-855. [Paper] [Journal] [Dataverse] [GitHub]
  • Barrilleaux, Charles and Carlisle Rainey. 2014. “The Politics of Need: Examining Governors’ Decisions to Oppose the ‘Obamacare’ Medicaid Expansion.” State Politics and Policy Quarterly. 14(4): 437-460. [Paper] [Appendix] [Journal] [Dataverse] [GitHub]