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. 2023 Jul 10;14:1212568. doi: 10.3389/fpsyt.2023.1212568

Table 3.

Fit indices for LCA.

LL BIC AIC AIC3 Npar df p value BLRT Entropy R2
1-Cluster −9439.000 18984.648 18908.000 18923.000 15 1,209 0.000
2-Cluster −8737.807 17696.021 17537.615 17568.615 31 1,193 0.000 0.740
3-Cluster −8604.513 17543.190 17303.026 17350.026 47 1,177 0.000 0.702
4-Cluster −8498.522 17444.967 17123.045 17186.045 63 1,161 0.036 0.680
5-Cluster −8428.960 17419.602 17015.921 17094.921 79 1,145 0.064 0.674
6-Cluster −8392.822 17461.083 16975.645 17070.645 95 1,129 0.126 0.689
7-Cluster −8358.960 17507.117 16939.920 17050.920 111 1,113 0.148 0.683
8-Cluster −8339.418 17581.791 16932.837 17059.837 127 1,097 0.102 0.672
9-Cluster −8321.791 17660.294 16929.582 17072.582 143 1,081 0.082 0.682
10-Cluster −8305.313 17741.096 16928.626 17087.626 159 1,065 0.082 0.691

LL, log likelihood; BIC, Bayesian information criterion; AIC, Aikake information criterion; AIC3, Aikake information criterion 3; Npar, numbers of parameters; BLRT, bootstrap likelihood ratio test.