ARPB {BifactorIndicesCalculator} | R Documentation |
ARPB
computes absolute relative bias in factor loadings between the general factor of a
bifactor model and a unidimensional model.
ARPB(Lambda, UniLambda)
Lambda |
is a matrix of factor loadings |
UniLambda |
is a matrix of factor loadings |
ARPB
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 list where the first element is the average absolute relative paramter bias, and the second element is a vector of absolute relative bias by item
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") UniLambda <- c(.78, .84, .82, .77, .69, .62, .69, .66, .82, .56, .74, .65) ARPB(Lambda, UniLambda)