uniVal

A function for unifying the correlations of multiple tests with a criterion (i.e., the validity)

In diagnostic contexts, individuals are often assessed using multiple
tests that measure the same latent variable (e.g., intelligence). These test scores
are typically not exactly identical. Simple averaging neglects the correlation
between tests and the reduced variance of their combination. The 'unifyR' package
provides functions to compute statistically accurate unified scores, reliabilities
and validities of multiple tests. The underlying algorithms build on and extend the
method proposed by Evans (1996, <DOI:10.3758/BF03204767>) and have been validated
through simulations.

Dominik Weber

unifyR

Unified Scores, Reliabilities and Validities from Multiple Tests

Marco Koch

Frank M. Spinath

Nicolas Becker

uniVal function

<dl><dt>val</dt>
<dd>Vector of validities of the tests</dd>
<dt>b</dt>
<dd>Vector of weightings for the validities; must match order of `val`. Default: 1</dd>
<dt>corm</dt>
<dd>Correlation matrix of the tests; must be square with 1s on the diagonal</dd></dl>

Arguments

uniVal — uniVal

<dl>

<dt>val</dt>
<dd>Vector of validities of the tests</dd>


<dt>b</dt>
<dd>Vector of weightings for the validities; must match order of `val`. Default: 1</dd>


<dt>corm</dt>
<dd>Correlation matrix of the tests; must be square with 1s on the diagonal</dd>

</dl>

uniVal: uniVal

Description

Usage

Value

Arguments

Examples