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ionr (version 0.3.0)

Test for Indifference of Indicator

Description

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> .

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Version

Install

install.packages('ionr')

Monthly Downloads

66

Version

0.3.0

License

GPL (>= 2)

Maintainer

Uku Vainik

Last Published

February 10th, 2016

Functions in ionr (0.3.0)

ind_excl_step

One step in indicator exclusion procedure
ind_excl

Wrapper and scripts for indicator exclusion procedure
optimal_p

Find an optimal p-value for SONE
ciplotter

Plot confidence intervals
scale_sim

Simulate personality scale(s) and an outcome
ind_excl_inc

Incrementally calls ind_excl_step
scenario_sim

Simulate SONE values for scenario.
ind_excl_plot

Plot indicator exlusion results with and without excluded indicators
optimal_p_out

Table and plot the SONE values
scenario_plot

Plot scenario simulation results