lca_entropy is a Stata command that calculates an entropy fit statistic for a latent class analysis (LCA) model. The LCA model should be fit using gsem in Stata.
To read more about Latent Class Analysis and using entropy as a measure of model fit see:
My graduate course slides on Latent Class Analysis (pages 742 - 744 for entropy disucssion)
To install in Stata:
net install lca_entropy, from("https://tdmize.github.io/data") replace
Once installed, to read the help file (also available here):
help lca_entropy
Please cite use of lca_entropy as:
Mize, Trenton D. 2024 "lca_entropy: Stata command for entropy fit statistics for latent class analysis." https://www.trentonmize.com/software/lca_entropy
Load data and do some data management to recreate example from Alderson et al. 2007:
use "https://tdmize.github.io/data/data/cda_gss", clear
keep if year == 1998 | year == 2002
drop if missing(opera, dance, drama, visitart, popmusic, readfict, seemovie)
Fit the LCA using gsem:
gsem (-> opera dance drama visitart popmusic readfict seemovie, logit) ///
(1: opera <- _cons@-15) ///
, lclass(Class 3)
Estimate entropy using lca_entropy:
lca_entropy
Entropy = 0.607