Covariance matrix from confirmatory (single) factor model.
Function calculates a covariance matrix using the specified Lambda and Psi.Square values from a confirmatory
factor model approach (McDonald, 1999).
covmat.from.cfm(Lambda, Psi.Square, tol.det = 1e-05)
Lambda |
the vector of population factor loadings |
Psi.Square |
the vector of population error variances |
tol.det |
the specified tolerance for the determinant |
Population.Covariance |
the population covariance matrix |
True.Covariance |
the true covariance matrix |
True.Covariance |
the error covariance matrix |
Ken Kelley (University of Notre Dame; KKelley@ND.Edu); Leann Terry (Indiana University; ljterry@Indiana.Edu)
McDonald, R. P. (1999). Test theory: A unified approach. Mahwah, NJ: Erlbaum.
# 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)
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