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Table 2 Latent class model fit comparison

From: Profiles of instrumental, emotional, and informational support in Chinese breast cancer patients undergoing chemotherapy: a latent class analysis

Model K Log (L) AIC BIC aBIC Entropy LMR
P value
BLRT
P value
Probability of classes
1C 26 − 4482.80 9017.61 9133.52 9050.98 1
2C 53 − 2949.01 6004.01 6240.30 6072.03 0.95 < 0.00 < 0.00 0.680/0.320
3C 80 − 2644.35 5448.71 5805.38 5551.39 0.96 0.023 < 0.00 0.143/0.246/0.611
4C 107 − 2545.27 5304.54 5781.58 5441.86 0.97 0.771 < 0.00 0.611/0.035/0.222/0.132
5C 134 − 2472.95 5213.90 5811.31 5385.87 0.96 < 0.00 < 0.00 0.050/0.580/0.117/0.132/0.121
6C 161 − 2432.68 5187.37 5905.16 5394.00 0.96 < 0.112 0.000 0.040/0.131/0.584/0.042/0.099/0.103
  1. K number of free parameters, Log (L) log likelihood, AIC Akaike Information Criterion, BIC Bayesian Information Criterion, aBIC Adjusted BIC, LMR Lo–Mendell–Rubin, BLRT the Bootstrap Likelihood Ratio Test, – not applicable