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. 2019 Nov 14;16(22):4491. doi: 10.3390/ijerph16224491

Table 2.

Model fit statistics for determining the number of latent classes in the context of change in employment status.

Models Log Likelihood BIC SSABIC Entropy BLRT Proportions for the Latent Classes (%)
1 2 3 4 5 6
2-Class −4436.763 8916.206 8897.147 0.846 0.000 25.65 74.35
3-Class −4370.017 8804.053 8775.465 0.840 0.000 18.08 9.68 72.25
4-Class −4296.295 8677.947 8639.830 0.779 0.000 12.75 62.16 14.41 10.68
5-Class −4259.782 8626.261 8578.614 0.806 0.000 9.64 62.62 6.46 10.71 10.58
6-Class −4292.738 8713.512 8656.337 0.826 0.100 12.38 10.64 0.00 14.93 0.27 61.79

Note. BIC, Bayesian information criterion; SSABIC, sample-size adjusted Bayesian information criterion (n* = (n + 2)/24); BLRT, bootstrap likelihood ratio test.