MBESS (version 4.1.0)

CFA.1: One-factor confirmatory factor analysis model

Description

Returns the MLE estimates and the estimated asymptotic covariance matrix of parameter estimates for one-factor confirmatory factor analysis model

Usage

CFA.1(S, N, equal.loading = FALSE, equal.error = FALSE, package="lavaan", 
	se="standard", ...)

Arguments

S

covariance matrix of the indicators

N

total sample size

equal.loading

logical statement indicating whether the path coefficients are the same

equal.error

logical statement indicating whether the manifest variables have the same error variances

package

the package used in confirmatory factor analysis (sem or lavaan

se

See the cfa and check the se argument

...

Additional arguments for the cfa function

Value

See Also

sem, covmat.from.cfm

Examples

## Not run: 
# cov.mat<- matrix(
# c(1.384, 1.484, 1.988, 2.429, 3.031,
# 1.484, 2.756, 2.874, 3.588, 4.390,
# 1.988, 2.874, 4.845, 4.894, 6.080,
# 2.429, 3.588, 4.894, 6.951, 7.476,
# 3.031, 4.390, 6.080, 7.476, 10.313), nrow=5)
# 
# 
# CFA.1(N=300, S=cov.mat, package="lavaan")
# 
# CFA.1(N=300, S=cov.mat, package="sem")
# 
# ## End(Not run)