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Table 2 Suitability of latent profile type according to implementation of the protection system against customer bullying

From: Analysis of latent profiles and affected factors according to the implementation of a protection system against customer bullying in Korea

Group number AIC BIC saBIC LMR BLRT Latent profile type distribution rate (%)
1 2 3 4 5 6
1 23043.842 23097.218 23065.450 N/A N/A 100.0      
2 19319.272 19404.673 19353.845 <.001 <.001 86.6 13.4     
3 18064.035 18181.462 18111.574 <.001 <.001 79.0 15.9 5.1    
4 17632.804 17782.256 17693.307 .012 <.001 66.6 14.9 13.5 5.0   
5 17263.450 17444.928 17336.919 .013 <.001 66.6 15.1 9.8 3.9 4.8  
6 16947.902 17161.406 17034.336 .685 1.000 66.6 16.1 5.5 3.1 4.0 4.8
  1. Note: AIC Akaike information criterion, BIC Bayesian information criterion, saBIC sample size adjusted BIC, LMR Lo-Mendell likelihood ratio test, BLRT bootstrap likelihood ratio test