
Jeffrey B. Lewis
· ProfessorUniversity of California, Los Angeles · Political Science
Active 1969–2026
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About
The provided page text does not contain a professional biography or detailed background information about Professor Jeffrey B. Lewis. Therefore, the JSON output is an empty string for the biography.
Research topics
- Political Science
- Computer Science
- Political economy
- Social Science
- Computer Security
- Economics
- Sociology
- Law
- Internet privacy
- Psychology
Selected publications
poLCA: An R Package for Polytomous Variable Latent Class Analysis
2015-02-18 · 166 citations
articleOpen accessSenior authorpoLCA is a software package for the estimation of latent class and latent class regres-sion models for polytomous outcome variables, implemented in the R statistical computing environment. Both models can be called using a single simple command line. The basic latent class model is a finite mixture model in which the component distributions are as-sumed to be multi-way cross-classification tables with all variables mutually independent. The latent class regression model further enables the resea…
American Political Science Review · 2022 · 97 citations
Moderates are often overlooked in contemporary research on American voters. Many scholars who have examined moderates argue that these individuals are only classified as such due to a lack of political sophistication or conflicted views across issues. We develop a method to distinguish three ways an individual might be classified as moderate: having genuinely moderate views across issues, being inattentive to politics or political surveys, or holding views poorly summarized by a single liberal–c…
Recovering a Basic Space from Issue Scales in<i>R</i>
Journal of Statistical Software · 2016-01-01 · 87 citations
articleOpen accessbasicspace is an R package that conducts Aldrich-McKelvey and Blackbox scaling to recover estimates of the underlying latent dimensions of issue scale data. We illustrate several applications of the package to survey data commonly used in the social sciences. Monte Carlo tests demonstrate that the procedure can recover latent dimensions and reproduce the matrix of responses at moderate levels of error and missing data.
The Structure of Utility in Spatial Models of Voting
American Journal of Political Science · 2013-05-23 · 68 citations
articleCorrespondingEmpirical models of spatial voting allow legislators' locations in a policy or ideological space to be inferred from their roll‐call votes. These are typically random utility models where the features of the utility functions other than the ideal points are assumed rather than estimated. In this article, we first consider a model in which legislators' utility functions are allowed to be a mixture of the two most commonly assumed utility functions: the quadratic function and the Gaussian function…
Public Choice · 2018-05-07 · 38 citations
article
Recent grants
Collaborative Research on Dynamic Models of Roll Call Voting
NSF · $182k · 2006–2011
Frequent coauthors
- 636 shared
Gary King
Harvard University Press
- 629 shared
Kenneth Benoit
- 629 shared
Micah Altman
Massachusetts Institute of Technology
- 628 shared
Greg Adams
- 628 shared
Russ Mayer
- 628 shared
Bradley Palmquist
Syracuse University
- 628 shared
Claudine Gay
- 628 shared
Eric Reinhardt
Emory University
Awards & honors
- President of the Society for Political Methodology
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