popMisfitMACS: Find population misfit by sufficient statistics

In simsem: SIMulated Structural Equation Modeling

Description

Find the value quantifying the amount of population misfit: F_0, RMSEA, and SRMR. See the definition of each index at summaryMisspec.

Usage

popMisfitMACS(paramM, paramCM, misspecM, misspecCM, dfParam=NULL, fit.measures="all")

Arguments

paramM	The model-implied mean from the real parameters
paramCM	The model-implied covariance matrix from the real parameters
misspecM	The model-implied mean from the real and misspecified parameters
misspecCM	The model-implied covariance matrix from the real and misspecified parameters
dfParam	The degree of freedom of the real model
fit.measures	The names of indices used to calculate population misfit. There are three types of misfit: 1) discrepancy function ("f0"; see popDiscrepancy), 2) root mean squared error of approximation ("rmsea"; Equation 12 in Browne & Cudeck, 1992), and 3) standardized root mean squared residual ("srmr")

Value

The vector of the misfit indices

Author(s)

Sunthud Pornprasertmanit ([e-mail])

References

Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21, 230-258.

Examples

m1 <- rep(0, 3)
m2 <- c(0.1, -0.1, 0.05)
S1 <- matrix(c(1, 0.6, 0.5, 0.6, 1, 0.4, 0.5, 0.4, 1), 3, 3)
S2 <- matrix(c(1, 0.55, 0.55, 0.55, 1, 0.55, 0.55, 0.55, 1), 3, 3)
popMisfitMACS(m1, S1, m2, S2)

simsem documentation built on March 29, 2021, 1:07 a.m.