covmat.from.cfm: Covariance matrix from confirmatory (single) factor model.

In MBESS: The MBESS R Package

Covariance matrix from confirmatory (single) factor model.

Description

Function calculates a covariance matrix using the specified Lambda and Psi.Square values from a confirmatory factor model approach (McDonald, 1999).

Usage

covmat.from.cfm(Lambda, Psi.Square, tol.det = 1e-05)

Arguments

Lambda	the vector of population factor loadings
Psi.Square	the vector of population error variances
tol.det	the specified tolerance for the determinant

Value

Population.Covariance	the population covariance matrix
True.Covariance	the true covariance matrix
True.Covariance	the error covariance matrix

Author(s)

Ken Kelley (University of Notre Dame; [e-mail]); Leann Terry (Indiana University; [e-mail])

References

McDonald, R. P. (1999). Test theory: A unified approach. Mahwah, NJ: Erlbaum.

See Also

CFA.1;sem

Examples

# General Congeneric
# covmat.from.cfm(Lambda=c(.8, .9, .6, .8), Psi.Square=c(.6, .2, .1, .3), tol.det=.00001)


# True-score equivalent
# covmat.from.cfm(Lambda=c(.8, .8, .8, .8), Psi.Square=c(.6, .2, .1, .3), tol.det=.00001)


# Parallel 
# covmat.from.cfm(Lambda=c(.8, .8, .8, .8), Psi.Square=c(.2, .2, .2, .2), tol.det=.00001)

MBESS documentation built on Oct. 26, 2023, 9:07 a.m.