TABLE 2.

Class Enumeration Fit Indices and Qualities for Longitudinal Latent Class Analyses

Classes	Free Parameters	Log-Likelihood	AIC	BIC	SSA-BIC	Entropy	BF	cmP	AWE	VLMR LRT p-value
1	80	−61,818	123,795	124,210	123,956	n/a	<1	0.00	125,019	n/a
2	121	−58,864	117,970	118,597	118,213	0.876	<1	0.00	119,821	0.044
3	162	−57,155	114,634	115,473	114,959	0.910	<1	0.00	117,112	0.032
4	203	−56,383	113,171	114,223	113,578	0.929	<1	0.00	116,277	0.034
5	244	−55,546	111,580	112,844	112,069	0.918	<1	0.00	115,313	0.230
6	285	−54,931	110,433	111,909	111,004	0.925	<1	0.00	114,793	0.394
7	326	−54,621	109,895	111,584	110,548	0.916	n/a	1.00	114,882	0.242

Note. Boldface indicates the model we selected. Models were estimated with a sample of 1,120 participants.

Abbreviations: AIC = Akaike information criterion; AWE = Approximate weight of evidence criterion; BF = Bayes factor; BIC = Bayesian information criterion; cmP = correct model probability; df = degrees of freedom; n/a = not applicable; VLMR LRT = Vuong-Lo-Mendell-Rubin likelihood ratio test.

The likelihood ratio χ² goodness-of-fit tests could not be computed in Mplus because the latent class indicator model was too large.