cvv_manual

Calculates three different indices for variation between two or more variance estimates.
VR = Variance ratio between the largest and the smallest variance.
CVV = Coefficient of variance variation (Box, 1954).
SVH = Standardized variance heterogeneity (Ruscio &amp; Roche, 2012).

Estimation of multivariate differences between two groups (e.g., multivariate sex differences) with regularized regression methods and predictive approach. See Ilmarinen et al. (2023) <doi:10.1177/08902070221088155>. Deconstructing difference score correlations (e.g., gender-equality paradox), see Ilmarinen & Lönnqvist (2024) <doi:10.1037/pspp0000508>.
Includes also tools that help in understanding difference score reliability, conditional intra-class correlations, tail-dependency, and heterogeneity of variance estimates. Package development was supported by the Academy of Finland research grant 338891.

Ville-Juhani Ilmarinen

multid

Multivariate Difference Between Two Groups

cvv_manual function

<dl><dt>sample_sizes</dt>
<dd>Numeric vector of length &gt; 1. Sample sizes used for each variance estimate.</dd>
<dt>variances</dt>
<dd>Numeric vector of length &gt; 1. Variance estimates.</dd></dl>

Arguments

Coefficient of variance variation from manual input sample sizes and variance estimates — cvv_manual

<dl>

<dt>sample_sizes</dt>
<dd>Numeric vector of length &gt; 1. Sample sizes used for each variance estimate.</dd>


<dt>variances</dt>
<dd>Numeric vector of length &gt; 1. Variance estimates.</dd>

</dl>

cvv_manual: Coefficient of variance variation from manual input sample sizes and variance estimates

Description

Usage

Value

Arguments

References

Examples