tefi {EGAnet} | R Documentation |
Computes the fit (TEFI) of a dimensionality structure using Von Neumman's entropy when the input is a correlation matrix. Lower values suggest better fit of a structure to the data.
tefi(data, structure)
data |
A dataframe or correlation matrix |
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:
VN.Entropy.Fit |
The Entropy Fit Index using Von Neumman's entropy |
Total.Correlation |
The total correlation of the dataset |
Average.Entropy |
The average entropy of the dataset |
Hudson 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]
## Not run:
# Estimate EGA model
ega.wmt <- EGA(data = wmt, model = "glasso")
## End(Not run)
# Compute entropy indices
tefi(data = ega.wmt$correlation, structure = ega.wmt$wc)