R: Modification Indices

modificationIndices {lavaan}

R Documentation

Modification Indices

Description

Modification indices of a latent variable model.

Usage

modificationIndices(object, standardized = TRUE, power = FALSE, 
                    delta = 0.1, alpha = 0.05, high.power = 0.75)
modindices(object, standardized = TRUE, power = FALSE,
                    delta = 0.1, alpha = 0.05, high.power = 0.75)

Arguments

`object`	An object of class `lavaan`.
`standardized`	If `TRUE`, two extra columns (sepc.lv and sepc.all) will contain standardized values for the epc's. In the first column (sepc.lv), standardizization is based on the variances of the (continuous) latent variables. In the second column (sepc.all), standardization is based on both the variances of both (continuous) observed and latent variables. (Residual) covariances are standardized using (residual) variances.
`power`	If `TRUE`, the (post-hoc) power is computed for each modification index, using the values of `delta` and `alpha`.
`delta`	The value of the effect size, as used in the post-hoc power computation, currently using the unstandardized metric of the epc column.
`alpha`	The significance level used for deciding if the modification index is statistically significant or not.
`high.power`	If the computed power is higher than this cutoff value, the power is considered ‘high’. If not, the power is considered ‘low’. This affects the values in the 'decision' column in the output.

Value

A data.frame containing modification indices and EPC's.

Examples

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

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

[Package lavaan version 0.4-12 Index]