lavaan (version 0.5-9)

parameterEstimates: Parameter Estimates

Description

Parameter estimates of a latent variable model.

Usage

parameterEstimates(object, ci = TRUE, level = 0.95, 
                   boot.ci.type = "perc", standardized = FALSE,
                   fmi = "default")

Arguments

object

An object of class lavaan.

ci

If TRUE, confidence intervals are added to the output

level

The confidence level required.

boot.ci.type

If bootstrapping was used, the type of interval required. The value should be one of "norm", "basic", "perc", or "bca.simple". For the first three options, see the help page of the

standardized

If TRUE, standardized estimates are added to the output

fmi

Logical. If TRUE, an extra column is added containing the fraction of missing information for each estimated parameter. If "default", the value is set to TRUE only if estimator="ML", missing="(fi)m

Value

• A data.frame containing the estimated parameters, parameters, standard errors, z-values, and (by default) the lower and upper values of the confidence intervals. If requested, extra columns are added with standardized versions of the parameter estimates.

References

Savalei, V. & Rhemtulla, M. (in press). On obtaining estimates of the fraction of missing information from FIML.

Examples

HS.model <- 'visual  =~ x1 + x2 + x3
              textual =~ x4 + x5 + x6
              speed   =~ x7 + x8 + x9 '

fit <- cfa(HS.model, data=HolzingerSwineford1939)
parameterEstimates(fit)