Recovering a Basic Space from Issue Scales in R
Author
Poole, Keith T.; Lewis, Jeffrey B.; Rosenthal, Howard; Lo, James; Carroll, Royce
Date
2016Abstract
basicspace 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.
Citation
Published Version
Keyword
multivariate; R; scaling
Type
Journal article
Publisher
Citable link to this page
https://hdl.handle.net/1911/94113Rights
This work is licensed under the Creative Commons Attribution 3.0 Unported LicenseLink to License
https://creativecommons.org/licenses/by/3.0/us/Metadata
Show full item recordCollections
- Faculty Publications [4990]
- Political Science Publications [51]