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Recovering a basic space from issue scales in R

Poole, KT and Lewis, JB and Rosenthal, H and Lo, J and Carroll, R (2016) 'Recovering a basic space from issue scales in R.' Journal of Statistical Software, 69. ISSN 1548-7660

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© 2016, American Statistical Association. All rights reserved. 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.

Item Type: Article
Subjects: H Social Sciences > HA Statistics
Divisions: Faculty of Social Sciences > Government, Department of
Depositing User: Royce Carroll
Date Deposited: 30 Sep 2016 14:37
Last Modified: 17 Aug 2017 17:23

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