composite_u_matrix: Matrix formula to estimate the u ratio of a composite...

In psychmeta: Psychometric Meta-Analysis Toolkit

Matrix formula to estimate the u ratio of a composite variable

Description

This function estimates the u ratio of a composite variable when at least one matrix of correlations (restricted or unrestricted) among the variables is available.

Usage

composite_u_matrix(
  ri_mat = NULL,
  ra_mat = NULL,
  u_vec,
  wt_vec = rep(1, length(u_vec)),
  sign_r_vec = 1
)

Arguments

ri_mat	Range-restricted correlation matrix from which the composite is to be computed (if NULL, ri_mat is estimated from ra_mat).
ra_mat	Unrestricted correlation matrix from which the composite is to be computed (if NULL, ra_mat is estimated from ri_mat).
u_vec	Vector of u ratios associated with variables in the composite to be formed.
wt_vec	Weights to be used in forming the composite (by default, all variables receive equal weight).
sign_r_vec	The signs of the relationships between the variables in the composite and the variable by which range restriction was induced.

Details

This is computed as:

u_composite = sqrt((t(wt * u) R_i (wt * u) / (t(wt) R_a wt))

where u_composite is the composite u ratio, u is a vector of u ratios, R_i is a range-restricted correlation matrix, R_a is an unrestricted correlation matrix, and wt is a vector of weights.

Value

The estimated u ratio of the composite variable.

Examples

composite_u_matrix(ri_mat = matrix(c(1, .3, .3, 1), 2, 2), u_vec = c(.8, .8))

psychmeta documentation built on Aug. 26, 2022, 5:14 p.m.