ionr: Test for Indifference of Indicator

Provides item exclusion procedure, which is a formal method to test 'Indifference Of iNdicator' (ION). When a latent personality trait-outcome association is assumed, then the association strength should not depend on which subset of indicators (i.e. items) has been chosen to reflect the trait. Personality traits are often measured (reflected) by a sum-score of a certain set of indicators. Item exclusion procedure randomly excludes items from a sum-score and tests, whether the sum-score - outcome correlation changes. ION has been achieved, when any item can be excluded from the sum-score without the sum-score - outcome correlation substantially changing . For more details, see Vainik, Mottus et. al, (2015) "Are Trait-Outcome Associations Caused by Scales or Particular Items? Example Analysis of Personality Facets and BMI",European Journal of Personality DOI: <10.1002/per.2009> .

Version: 0.3.0
Depends: R (≥ 3.0)
Imports: gplots, psych
Suggests: lavaan
Published: 2016-02-11
Author: Uku Vainik, Rene Mottus
Maintainer: Uku Vainik <ukuvainik at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: www.ut.ee/uku.vainik/ion/
NeedsCompilation: no
Citation: ionr citation info
CRAN checks: ionr results

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Reference manual: ionr.pdf
Package source: ionr_0.3.0.tar.gz
Windows binaries: r-devel: ionr_0.3.0.zip, r-release: ionr_0.3.0.zip, r-oldrel: ionr_0.3.0.zip
OS X El Capitan binaries: r-release: ionr_0.3.0.tgz
OS X Mavericks binaries: r-oldrel: ionr_0.3.0.tgz

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