EGAnet (version 0.5)

entropyFit: Entropy Fit Index

Description

Computes the fit of a dimensionality structure using empirical entropy. Lower values suggest better fit of a structure to the data.

Usage

entropyFit(data, structure)

Arguments

data

A dataset

structure

A vector representing the structure (numbers or labels for each item). Can be theoretical factors or the structure detected by EGA

Value

Returns a list containing:

Total.Correlation

The total correlation of the dataset

Total.Correlation.MM

Miller-Madow correction for the total correlation of the dataset

Entropy.Fit

The Entropy Fit Index

Entropy.Fit.MM

Miller-Madow correction for the Entropy Fit Index

Average.Entropy

The average entropy of the dataset

See Also

EGA to estimate the number of dimensions of an instrument using EGA and CFA to verify the fit of the structure suggested by EGA using confirmatory factor analysis.

Examples

# NOT RUN {
#estimate EGA model
ega.wmt <- EGA(data = wmt2[,7:24], model = "glasso")

#compute entropy indices
entropyFit(data = wmt2[,7:24], structure = ega.wmt$wc)
# }