Recovering a Basic Space from Issue Scales in R
Date
2016Citation
Published Version
Abstract
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.
Keyword
multivariate; R; scaling
Type
Journal article
Citable link to this page
https://hdl.handle.net/1911/94113Metadata
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