Calculates the correction factor used by PLSc.
calculateCorrectionFactors(
.S = args_default()$.S,
.W = args_default()$.W,
.modes = args_default()$.modes,
.csem_model = args_default()$.csem_model,
.PLS_approach_cf = args_default()$.PLS_approach_cf
)
The (K x K) empirical indicator correlation matrix.
A (J x K) matrix of weights.
A vector giving the mode for each construct in the form "name" = "mode"
.
Only used internally.
A (possibly incomplete) cSEMModel-list.
Character string. Approach used to obtain the correction
factors for PLSc. One of: "dist_squared_euclid", "dist_euclid_weighted",
"fisher_transformed", "mean_arithmetic", "mean_geometric", "mean_harmonic",
"geo_of_harmonic". Defaults to "dist_squared_euclid".
Ignored if .disattenuate = FALSE
or if .approach_weights
is not PLS-PM.
A numeric vector of correction factors with element names equal to the names of the J constructs used in the measurement model.
Currently, seven approaches are available:
"dist_squared_euclid" (default)
"dist_euclid_weighted"
"fisher_transformed"
"mean_geometric"
"mean_harmonic"
"mean_arithmetic"
"geo_of_harmonic" (not yet implemented)
See Dijkstra2013cSEM for details.