Table 1.

Fit Statistics for Latent Profile Analysis Solutions with 2–7 Clusters

Model	AIC	BIC	Entropy	LMR LRT
2 Classes	84,127.039	84,289.546	.959	p < .001
3 Classes	81,150.535	81,382.689	.928	p = .004
4 Classes	78,627.923	78,929.723	.965	p = .011
5 Classes	77,066.396	77,437.842	.962	p = .280
6 Classes	76,297.706	76,738.798	.931	p = .417
7 Classes	75,601.979	76,112.717	.926	p = .356

Note: AIC = Akaike information criterion (lower values indicate better fit); BIC = Bayesian information criterion (lower values indicate better fit); LMR LRT = Lo-Mendell-Rubin likelihood ratio test (significance indicates better fit compared with a solution with one fewer cluster).