Calculating the invariance test

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Description

Calculating the invariance test

Usage

1
invariance(x, nodes, inner, outer, mode, scheme, scaling, scaled)

Arguments

x

matrix or data.frame with the data.

inner

A square (lower triangular) boolean matrix representing the inner model (i.e. the path relationships between latent variables).

outer

list of vectors with column indices or column names from Data indicating the sets of manifest variables forming each block (i.e. which manifest variables correspond to each block).

mode

character vector indicating the type of measurement for each block. Possible values are: "A", "B", "newA", "PLScore", "PLScow". The length of mode must be equal to the length of outer.

scheme

string indicating the type of inner weighting scheme. Possible values are "centroid", "factorial", or "path".

scaling

optional list of string vectors indicating the type of measurement scale for each manifest variable specified in blocks. scaling must be specified when working with non-metric variables. Possible values: "num" (numeric), "raw", "nom" (nominal), and "ord" (ordinal).

scaled

whether manifest variables should be standardized. Only used when scaling = NULL. When (TRUE, data is scaled to standardized values (mean=0 and variance=1).

Details

Internal function. invariance is called by treemodel.pls.

Value

data frames containing the results of the invariance test

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