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. Author manuscript; available in PMC: 2022 Jun 4.
Published in final edited form as: J Adolesc Health. 2020 Oct 17;68(6):1155–1161. doi: 10.1016/j.jadohealth.2020.08.034

Table 2. Fit statistics for complex three-step latent class analyses on dating violence victimization and perpetration (N = 87,532).

Entropy BIC Vuong–Lo–
Mendell–Rubin LRT		 Lo–Mendell–
Rubin adjusted LRT
Two classes .908 141,770 <.001 <.001
Three classes .925 140,416 <.001 <.001
Four classes .932 140,012 <.001 <.001
Five classes .909 139,653 <.001 <.001
Six classes .826 139,575   .002   .002
Seven classes .839 139,521 <.001 <.001

Entropy refers to how well individual cases can be classified into classes; larger values indicate distinctive classes. Bayesian Information Criterion (BIC) is a measure of model fit; lower values indicate that the estimated model is more likely to be the true model. Vuong–Lo–Mendell-Rubin likelihood ratio test (LRT) and the Lo–Mendell–Rubin adjusted LRT indicate whether a solution with k-classes provides a better fit to the data than a solution with k – 1 classes; a nonsignificant p value (p > .05) indicates that a solution with one more class is not needed.