ARPB: ARPB
In BifactorIndicesCalculator: Bifactor Indices Calculator

Description Usage Arguments Details Value See Also Examples

ARPB computes absolute relative bias in factor loadings between the general factor of a bifactor model and a unidimensional model.

1	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

bifactorIndices

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)