Jacob M. Montgomery

Jacob M. Montgomery

Washington University in St. Louis

H-index: 21

North America-United States

About Jacob M. Montgomery

Jacob M. Montgomery, With an exceptional h-index of 21 and a recent h-index of 18 (since 2020), a distinguished researcher at Washington University in St. Louis, specializes in the field of American Politics, Political Methods.

His recent articles reflect a diverse array of research interests and contributions to the field:

The Effect of Group Status on the Variability of Group Representations in LLM-generated Text

America's racial framework of superiority and Americanness embedded in natural language

A Gaussian Process Framework for Structured, Flexible, and Interpretable Machine-Learning Models

Ends against the middle: Measuring latent traits when opposites respond the same way for antithetical reasons

Partisanship and older Americans’ engagement with dubious political news

A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data

The effects of unsubstantiated claims of voter fraud on confidence in elections

Adaptive Inventories: A Practical Guide for Applied Researchers

Jacob M. Montgomery Information

University

Position

Associate Professor of Political Science

Citations(all)

2993

Citations(since 2020)

2302

Cited By

1382

hIndex(all)

21

hIndex(since 2020)

18

i10Index(all)

30

i10Index(since 2020)

25

Email

University Profile Page

Washington University in St. Louis

Google Scholar

View Google Scholar Profile

Jacob M. Montgomery Skills & Research Interests

American Politics

Political Methods

Top articles of Jacob M. Montgomery

Title

Journal

Author(s)

Publication Date

The Effect of Group Status on the Variability of Group Representations in LLM-generated Text

arXiv preprint arXiv:2401.08495

Messi HJ Lee

Jacob M Montgomery

Calvin K Lai

2024/1/16

America's racial framework of superiority and Americanness embedded in natural language

PNAS nexus

Messi HJ Lee

Jacob M Montgomery

Calvin K Lai

2024/1

A Gaussian Process Framework for Structured, Flexible, and Interpretable Machine-Learning Models

Annamaria Prati

Yehu Chen

Jacob Montgomery

Roman Garnett

2023/10/7

Ends against the middle: Measuring latent traits when opposites respond the same way for antithetical reasons

Political Analysis

JBrandon Duck-Mayr

Jacob Montgomery

2023/10

Partisanship and older Americans’ engagement with dubious political news

Benjamin Lyons

Jacob Montgomery

Jason Reifler

2023/6

A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data

Yehu Chen

Annamaria Prati

Jacob Montgomery

Roman Garnett

2023/4/11

The effects of unsubstantiated claims of voter fraud on confidence in elections

Journal of Experimental Political Science

Nicolas Berlinski

Margaret Doyle

Andrew M Guess

Gabrielle Levy

Benjamin Lyons

...

2023

Adaptive Inventories: A Practical Guide for Applied Researchers

Elements in Quantitative and Computational Methods for the Social Sciences

Jacob M Montgomery

Erin L Rossiter

2022/7

Closeness and Strategic Participation: Does the Relative Closeness of the US Presidential Elections Shape Where College Students Register to Vote?

The Journal of Politics

Jacob M Montgomery

Min Hee Seo

2022/4/1

Overconfidence in news judgments is associated with false news susceptibility

Proceedings of the National Academy of Sciences

Benjamin A Lyons

Jacob M Montgomery

Andrew M Guess

Brendan Nyhan

Jason Reifler

2021/6/8

Love and Anger in Global Party Politics: Facebook Reactions to Political Party Posts in 79 Democracies

Journal of Quantitative Description: Digital Media

Taishi Muraoka

Jacob Montgomery

Christopher Lucas

Margit Tavits

2021/4/26

Topics, Concepts, and Measurement: A Crowdsourced Procedure for Validating Topics as Measures

Political Analysis

Luwei Ying

Jacob M Montgomery

Brandon M Stewart

2022

“Fake news” may have limited effects beyond increasing beliefs in false claims

Andrew M Guess

Dominique Lockett

Benjamin Lyons

Jacob M Montgomery

Brendan Nyhan

...

2020/1/14

Package ‘EBMAforecast’

Florian M Hollenbach

Jacob M Montgomery

Michael D Ward

Maintainer Florian M Hollenbach

2024/3/20

Bayesian model selection, model comparison, and model averaging

Florian M Hollenbach

Jacob M Montgomery

2020

Package ‘catSurv’

Jacob Montgomery

Erin Rossiter

Maintainer Erin Rossiter

2020/10/6

So many questions, so little time: Integrating adaptive inventories into public opinion research

Journal of Survey Statistics and Methodology

Jacob M Montgomery

Erin L Rossiter

2020/9/1

GPIRT: A Gaussian Process Model for Item Response Theory

JBrandon Duck-Mayr

Roman Garnett

Jacob Montgomery

2020/8/27

A digital media literacy intervention increases discernment between mainstream and false news in the United States and India

Proceedings of the National Academy of Sciences

Andrew M Guess

Michael Lerner

Benjamin Lyons

Jacob M Montgomery

Brendan Nyhan

...

2020/7/7

See List of Professors in Jacob M. Montgomery University(Washington University in St. Louis)

Co-Authors

H-index: 52
Michael D. Ward

Michael D. Ward

Duke University

H-index: 49
Brendan Nyhan

Brendan Nyhan

Dartmouth College

H-index: 40
Jason Reifler

Jason Reifler

University of Exeter

H-index: 33
Roman Garnett

Roman Garnett

Washington University in St. Louis

H-index: 31
Andrew M. Guess

Andrew M. Guess

Princeton University

H-index: 30
Brian F. Crisp

Brian F. Crisp

Washington University in St. Louis

academic-engine