lavaan (version 0.5-21)

standardizedSolution: Standardized Solution

Description

Standardized solution of a latent variable model.

Usage

standardizedSolution(object, type = "std.all", se = TRUE,  zstat = TRUE, pvalue = 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.

zstat

Logical. If TRUE, an extra column is added containing the so-called z-statistic, which is simply the value of the estimate divided by its standard error.

pvalue

Logical. If TRUE, an extra column is added containing the pvalues corresponding to the z-statistic, evaluated under a standard normal distribution.

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)