Montgomery, Jacob and Erin Rossiter. 2022. “Adaptive Inventories: A Practical Guide for Applied Researchers.” 2022. Cambridge University Press.
Peer Reviewed Publications
Duck-Mayr, JBrandon and Jacob M. Montgomery. 2023. “Ends Against the Middle: Measuring Latent Traits When Opposites Respond the Same Way for Antithetical Reasons.” Political Analysis 31 (4): 606-625. https://doi.org/10.1017/pan.2022.33
Chen, Yehu, Annamaria Prati, Jacob Montgomery, and Roman Garnett. 2023. “Inferring Time-varying Treatment Effects in Panel Data via Multi-Task Gaussian Processes.” Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4068-4088. https://proceedings.mlr.press/v206/chen23d/chen23d.pdf
Berlinski, Nicolas, Margaret Doyle, Andrew M. Guess, Gabrielle Levy, Benjamin Lyons, Jacob Montgomery, Brendan Nyhan, and Jason Reifler. 2023. “The Effects of Unsubstantiated Claims of Voter Fraud on Confidence in Elections.” Journal of Experimental Political Science (10) 1: 34-49. https://doi.org/10.1017/XPS.2021.18
Chen, Yehu, Roman Garnett, and Jacob M. Montgomery. 2022. “Polls, Context, and Time: A Dynamic Bayesian Forecasting Model for US Senate Elections.” Political Analysis 30 (2), 236 – 249. https://doi.org/10.1017/pan.2021.42
Montgomery, Jacob M. and Min Hee Seo. 2022. “Closeness and Strategic Participation: Does the Closeness of the U.S. Presidential Election Shape Where College Students Register to Vote?” Journal of Politics 84 (2), 1250-1255. https: //doi.org/10.1086/716287
Ying, Luwei, Jacob M. Montgomery, and Brandon M. Stewart. 2022. “Topics, Concepts, and Measurement: A Crowdsourced Procedure for Validating Topics as Measures,” Political Analysis. https://doi.org/10.1017/ pan.2021.33
Lyons, Benjamin A., Jacob M. Montgomery, Andrew M. Guess, Brendan Nyhan, and Jason Reifler. 2021. “Overconfidence in News Judgments is Associated with False News Susceptibility.” Proceedings of the National Academies of Sciences. 118 (23) https://doi.org/10.1073/pnas.2019527118
Muraoka, Taishi, Jacob Montgomery, Christopher Lucas, and Margit Tavits. 2021. “Love and Anger in Global Party Politics: Facebook Reactions to Political Party Posts in 79 Democracies.” Journal of Quantitative Description: Digital Media. 1: 1-38. https://doi.org/10.51685/jqd.2021.005
Jacob M. Montgomery and Erin L. Rossiter. 2020. “So Many Questions, So Little Time: Adaptive Personality Inventories for Survey Research.” Journal of Survey Statistics and Methodology 8 (4): 667-690. https://doi.org/10.1093/jssam/smz027
Duck-Mayr, JBrandon, Roman Garnett, and Jacob M. Montgomery. 2020. “GPIRT: A Gaussian Process Model for Item Response Theory.” Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence. https://arxiv.org/pdf/2006.09900.pdf
Guess, Andrew, Michael Lerner, Benjamin Lyons, Jacob Montgomery, Brendan Nyhan, Jason Reifler, and Neelanjan Sircar. 2020. “A digital media literacy intervention increases discernment between mainstream and false news in the United States and India.” Proceedings of the National Academies of Science 117 (27): 15536-15545. https://doi.org/10.1073/pnas.1920498117
Andrew M Guess, Dominique Lockett, Benjamin Lyons, Jacob M Montgomery, Brendan Nyhan, Jason Reifler. 2020. “Fake news may have limited effects beyond increasing beliefs in false claims.” Harvard Kennedy School Misinformation Review 1 (1). https://doi.org/10.37016/mr-2020-004
Tucker, Patrick D., Jacob M. Montgomery, and Steven S. Smith. 2019. “Party Identification in the Age of Obama: Evidence on the Sources of Stability and Systematic Change in Party Identification from a Long-Term Panel Survey.” Political Research Quarterly 72 (2): 309-328. https://doi.org/10.1177/1065912918784215
Hollenbach, Florian, Jacob M. Montgomery, and Adriana Crespo-Tenorio. 2019. “Bayesian Versus Maximum Likelihood Estimation of Treatment Effects in Bivariate Probit Instrumental Variable Models.” Political Science Research and Methods 7 (3): 651-659. https://doi.org/10.1017/psrm.2018.15
Montgomery, Jacob M., and Santiago Olivella. 2018. “Tree-Based Models for Political Science Data.” American Journal of Political Science 62 (3): 729-744. https://doi.org/10.1111/ajps.12361
Montgomery, Jacob M., Brendan Nyhan, and Michelle Torres. 2018 “How Conditioning on Post-Treatment variables Can Ruin Your Experiment and What to do About It.” American Journal of Political Science 62: (3): 760-775. https://doi.org/10.1111/ajps.12357
Butler, Ryden, Brendan Nyhan, Jacob M. Montgomery, and Michelle Torres. “Revisiting White Backlash: How Race Affects Death Penalty Opinion Today.” Research and Politics 5 (1). https://doi.org/10.1177/2053168017751250
Carlson, David and Jacob M. Montgomery. 2017. “A Pairwise Comparison Framework for Fast, Flexible, and Reliable Human Coding of Political Texts.” American Political Science Review 111 (4): 835-843. https://doi.org/10.1017/S0003055417000302
Montgomery, Jacob M., and Brendan Nyhan. 2017. “The Effects of Congressional Staff Networks in the U.S. House of Representatives.” Journal of Politics 79 (3): 745-761. https://doi.org/10.1086/690301
Freeze, Melanie and Jacob M. Montgomery. 2016. “Static Stability and Evolving Constraint: Preference Stability and Ideological Structure in the Mass Public.” American Politics Research 44 (3): 415-447. https://journals.sagepub.com/doi/10.1177/1532673X15607299
Hazelton, Morgan, Jacob M. Montgomery, and Brendan Nyhan. 2016. “Does Public Financing Affect Judicial Behavior? Evidence from the North Carolina Supreme Court.” American Politics Research 44 (4): 587-617. https://doi.org/10.1177/1532673X15599839
Montgomery, Jacob M., Santiago Olivella, Joshua D. Potter, and Brian Crisp. “An Informed Forensics Approach to Detecting Vote Irregularities.” Political Analysis 23 (4): 488-505. https://doi.org/10.1093/pan/mpv023
Nyhan, Brendan and Jacob M. Montgomery. 2015. “Connecting the Candidates: Consultant Networks and the Diffusion of Campaign Strategy in American Congressional Elections.” American Journal of Political Science 49 (2): 292-308. https://doi.org/10.1111/ajps.12143
Montgomery, Jacob M., Florian M. Hollenbach, and Michael D. Ward. 2014. “Calibrating Ensemble Forecasting Models with Sparse Data in the Social Sciences.” International Journal of Forecasting 31 (3): 930-942 https://doi.org/10.1016/j.ijforecast.2014.08.001
Aldrich, John H., Jacob M. Montgomery, and David Sparks. 2014. “Polarization and Ideology: Partisan Sources of Low Dimensionality in Scaled Roll-Call Analyses.” Political Analysis 22 (4): 435-456. https://doi.org/10.1093/pan/mpt048
Montgomery, Jacob M. and Josh Cutler. 2013. “Computerized Adaptive Testing for Public Opinion Surveys.” Political Analysis 21 (2): 141-171. https://doi.org/10.1093/pan/mps060
Montgomery, Jacob M., Florian Hollenbach, and Michael D. Ward. 2012. “Improving Predictions Using Ensemble Bayesian Model Averaging.” Political Analysis 20 (3): 271-291. https://doi.org/10.1093/pan/mps002
Aldrich, John H., Jacob M. Montgomery, and Wendy Wood. 2011. “Turnout as a Habit.” Political Behavior 33 (4): 535-563. https://doi.org/10.1007/s11109-010-9148-3
Montgomery, Jacob M. and Brendan Nyhan. 2010. “Bayesian Model Averaging: Theoretical Developments and Practical Applications.” Political Analysis 18 (2): 245-270. https://doi.org/10.1093/pan/mpq001
Montgomery, Jacob M., Jerry Reiter, Alexandra Cooper, and Shuo Guan. 2008. “Nonresponse Bias on Dimensions of Political Activity Amongst Political Elites.” International Journal of Public Opinion Research 20 (4): 494-506. https://doi.org/10.1093/ijpor/edn041
Montgomery, Jacob M., Kristie Long Foley, and Mark Wolfson. 2006. “Enforcing the Minimum Drinking Age: State, Local, and Agency Characteristics Associated With Compliance Checks and Cops in Shops Programs.” Addiction 101 (2): 223-231. https://doi.org/10.1111/j.1360-0443.2006.01328.x
Hollenbach, Florian and Jacob M. Montgomery. Forthcoming. “Bayesian Model Selection, Model Comparison, and Model Averaging.” SAGE Handbook of Research Methods in Political Science and International Relations. eds. Luigi Curini and Robert Franzese.
Moore, Ryan T. and Jacob M. Montgomery. 2014. “Building and Maintaining R Packages with devtools and roxygen2” The Political Methodologist 22 (1): 26-31.
Gomez, Brad T. and Jacob M. Montgomery. 2013. ‘Why John Aldrich?” PS: Political Science and Politics 46 (4): 857-864.
Montgomery, Jacob M., Florian Hollenbach, and Michael D. Ward. 2013. “Aggregation and Ensembles: Principled Combinations of Data.” PS: Political Science and Politics 46 (1): 43-44.
Montgomery, Jacob M., Florian Hollenbach, and Michael D. Ward. 2012. “Ensemble Predictions of the 2012 US Presidential Election.” PS: Political Science and Politics 45 (4): 651-654.
“Partisanship and older Americans’ engagement with dubious political new.” Under review. With Ben Lyons and Jason Reifler. https://osf.io/etb89/
“America’s Racial Framework of Superiority and Americanness Embedded in Natural Language.” Under review. With Messi Lee and Calvin Lai.
“Speaking Their Language?: Descriptive Representation of Language Constituen- cies in Global Democracies.” Under review. With Taishi Muraoka, Dahjin Kim, Christopher Lucas, and Margit Tavits.
“Populism, Polarization, and Post-Election Emotions.” Under Review. With Dahjin Kim, Christopher Lucas, Taishi Muraoka, and Margit Tavits.
“GD-GPIRT: A Generalized Dynamic Gaussian Process Model for Item Response Theory with Longitudinal Observationss.” Under review. With Yehu Chen, Roman Garnett, and JB Duck-Mayr.
“Validating the Text-to-Measure Pipeline: A Procedure-Based Approach to Cre- ating Measures of Latent Concepts with Supervised Machine Learning.” Under Review. With Ju Yeon Park.
“Large Language Models Portray Minority Groups as More Homogeneous, Consistent with the Outgroup Homogeneity Effect Observed in Humans.” With Messi Lee and Calvin Lai.
“What Drives Public Perceptions of the Political in Digital Advertising?” With Laura Edelson, Dominique Lockett, Zhaozhi Li, Tobias Lauinger, Celia Guillard, and Damon McCoy.
“Small-Area Estimation Using Gaussian Process Grouped IRT Regression and Post-Stratification.” With Santiago Olivella, Bryant Moy, and Noah Dasanaike.
(Bolded co-authors were WUSTL graduate students when project began)