entropyFit {EGAnet} | R Documentation |
Computes the fit of a dimensionality structure using empirical entropy. Lower values suggest better fit of a structure to the data.
entropyFit(data, structure)
data |
Matrix or data frame. Contains variables to be used in the analysis |
structure |
A vector representing the structure (numbers or labels for each item).
Can be theoretical factors or the structure detected by |
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 |
Hudson F. Golino <hfg9s at virginia.edu>, Alexander P. Christensen <alexpaulchristensen@gmail.com> and Robert Moulder <rgm4fd@virginia.edu>
Golino, H., Moulder, R. G., Shi, D., Christensen, A. P., Garrido, L. E., Nieto, M. D., Nesselroade, J., Sadana, R., Thiyagarajan, J. A., & Boker, S. M. (2020). Entropy fit indices: New fit measures for assessing the structure and dimensionality of multiple latent variables. Multivariate Behavioral Research.
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.
# Load data
wmt <- wmt2[,7:24]
# Estimate EGA model
ega.wmt <- EGA(data = wmt, model = "glasso", plot.EGA = FALSE)
# Compute entropy indices
entropyFit(data = wmt, structure = ega.wmt$wc)