Omega_H {BifactorIndicesCalculator} | R Documentation |
Computes hierarchical omega reliability estimate for all factors as described in Rodriguez, Reise, and Haviland (2016).
Omega_H(Lambda, Theta)
Lambda |
is a matrix of factor loadings |
Theta |
is a vector of indicator error variances |
Omega_H
is called by bifactorIndices
and the various convenience functions
for exploratory models and/or Mplus output,
which are the only functions in this package intended for casual users.
A numeric
, the omega reliability estimate for all factors.
Rodriguez, A., Reise, S. P., & Haviland, M. G. (2016). Evaluating bifactor models: Calculating and interpreting statistical indices. Psychological Methods, 21(2), 137 doi: 10.1037/met0000045.
Lambda <- matrix(c(.82, .10, 0, 0, .77, .35, 0, 0, .79, .32, 0, 0, .66, .39, 0, 0, .51, 0, .71, 0, .56, 0, .43, 0, .68, 0, .13, 0, .60, 0, .50, 0, .83, 0, 0, .47, .60, 0, 0, .27, .78, 0, 0, .28, .55, 0, 0, .75), ncol = 4, byrow = TRUE) colnames(Lambda) <- c("General", "SF1", "SF2", "SF3") Theta <- rep(1, nrow(Lambda)) - rowSums(Lambda^2) Omega_H(Lambda, Theta)