CFA.1: One-factor confirmatory factor analysis model

In MBESS: The MBESS R Package

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

Model	the factor analysis model specified by the user
Factor.Loadings	factor loadings
Indicator.var	the error variances of the indicator variables
Parameter.cov	the covariance matrix of the parameters
converged	TRUE or FALSE statement on if the model converged
package	notes the package used to get the output

Note

The output will differ slightly, both in form and potentially values, based on which package lavaan or sem is used.

Author(s)

Keke Lai (University of California-Merced) and Ken Kelley (University of Notre Dame)

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)

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