Table 1.

Latent Profile Solutions and Fit Indices for One through Four Classes for Spielberger State Anxiety and General Sleep Disturbance Scores

Model	LL	AIC	BIC	Entropy	VLMR
1 Class	−52832.90	105781.79	106083.02	n/a	n/a
2 Class	−51978.54	104099.09	104467.84	0.85	1708.70 c
3 Classa	−51688.00	103544.01	103980.28	0.87	581.08 b
4 Class	−51434.17	103062.34	103566.13	0.81	ns

Baseline entropy and VLMR are not applicable for the one-class solution

^aThe 3-class solution was selected because the BIC for that solution was lower than the BIC for the 2-class solution. In addition, the VLMR was significant for the 3-class solution, indicating that three classes fit the data better than two classes. Although the BIC was smaller for the 4-class than for the 3-class solution, the VLMR was not significant for the 4-class solution, indicating that too many classes were extracted.

^bp < .005

^cp < .00005

Abbreviations: AIC, Akaike’s Information Criterion; BIC, Bayesian Information Criterion; LL, log-likelihood; n/a, not applicable; ns, not significant; VLMR, Vuong-Lo-Mendell-Rubin likelihood ratio test for the K vs. K-1 model.