Degrees of freedom

Source: R/helper_assess.R

Calculate the degrees of freedom for a given model from a cSEMResults object.

calculateDf(
  .object     = NULL,
  .null_model = FALSE,
  ...
  )

Arguments

.object

An R object of class cSEMResults resulting from a call to csem().

.null_model

Logical. Should the degrees of freedom for the null model be computed? Defaults to FALSE.

...

Ignored.

Value

A single numeric value.

Details

Although, composite-based estimators always retrieve parameters of the postulated models via the estimation of a composite model, the computation of the degrees of freedom depends on the postulated model.

See: cSEM website for details on how the degrees of freedom are calculated.

To compute the degrees of freedom of the null model use .null_model = TRUE. The degrees of freedom of the null model are identical to the number of non-redundant off-diagonal elements of the empirical indicator correlation matrix. This implicitly assumes a null model with model-implied indicator correlation matrix equal to the identity matrix.

See also

assess(), cSEMResults