Table 3.

Goodness of fit for one-class and two-class traditional latent class analysis

Statistics	IFA-IgG and ELISA-IgG		IFA-IgM and ELISA-IgM
	1 Class	2 Class	1 Class	2 Class
AIC	773.71	577.23	543.56	473.04
BIC	781.13	595.79*	550.98	491.59†
Loglik	−384.86	−283.62	−269.78	−231.52

^*BIC of two-class with random effect model for IFA-IgG & ELISA-IgG = 601.49.

^†BIC of two-class with random effect model for IFA-IgM & ELISA-IgM = 497.31.

IFA = immunofluorescent assay; IgG = immunoglobulin G; IgM = immunoglobulin M; ELISA = enzyme-linked immunosorbent assay; AIC = Akaike information criteria; BIC = Bayesian information criteria.