Recovering a Basic Space from Issue Scales in R

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Author
Poole, Keith T.
Lewis, Jeffrey B.
Rosenthal, Howard
Lo, James
Carroll, Royce
Date
2016
Citation
Poole, Keith T., Lewis, Jeffrey B., Rosenthal, Howard, et al.. "Recovering a Basic Space from Issue Scales in R." Journal of Statistical Software, 69, no. 7 (2016) Foundation for Open Access Statistics: https://doi.org/10.18637/jss.v069.i07.
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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
Publisher
Foundation for Open Access Statistics
Citable link to this page
https://hdl.handle.net/1911/94113
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Except where otherwise noted, this item's license is described as This work is licensed under the Creative Commons Attribution 3.0 Unported License