R: Standardized Solution

standardizedSolution {lavaan}

R Documentation

Standardized Solution

Description

Standardized solution of a latent variable model.

Usage

standardizedSolution(object, type = "std.all", se = TRUE, remove.eq = TRUE, 
                     remove.ineq = TRUE, remove.def = FALSE)

Arguments

`object`	An object of class `lavaan`.
`type`	If `"std.lv"`, the standardized estimates are on the variances of the (continuous) latent variables only. If `"std.all"`, the standardized estimates are based on both the variances of both (continuous) observed and latent variables. If `"std.nox"`, the standardized estimates are based on both the variances of both (continuous) observed and latent variables, but not the variances of exogenous covariates.
`se`	Logical. If TRUE, standard errors for the standardized parameters will be computed, together with a z-statistic and a p-value.
`remove.eq`	Logical. If TRUE, filter the output by removing all rows containing equality constraints, if any.
`remove.ineq`	Logical. If TRUE, filter the output by removing all rows containing inequality constraints, if any.
`remove.def`	Logical. If TRUE, filter the ouitput by removing all rows containing parameter definitions, if any.

Value

A data.frame containing standardized model parameters.

Examples

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

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

[Package lavaan version 0.5-18 Index]