The first step conducted for the LCA involved identifying the number of latent classes that best fit the data on six childhood indicators. Table 3 presents the fit indices after carrying out several class models. Based on the entropy (0.95) and the BIC value (692.03), the four-class models fitted best. The five-class model, however, had the lowest value of the AIC (417.74). Models distinguishing six or more classes all performed worse on all indicators. Based on these findings and the interpretability of the resulting latent class model, we decided that the four-class model had the best fit for these data.Table 3Model fit sizes of latent class analysis of childhood correlates (N = 390)ModelEntropyAICBICDf21.001009.571124.5893030.93597.93772.4491540.95458.02692.0390050.91417.74711.24885 AIC Akaike information criteria, BIC Bayesian information criteria; Df degrees of freedom