popMisfitMACS {simsem} | R Documentation |
Find population misfit by sufficient statistics
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 ( |
Value
The vector of the misfit indices
Author(s)
Sunthud Pornprasertmanit (psunthud@gmail.com)
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)