Latent class analysis of goodness-of-fit statistics
| Number of clusters | BIC | Χ2 goodness of fit | Population (%) of smallest cluster | Range of mean PP across clusters | n (%) with PP<0.7 |
| 1 | 20 994.14 | 32 978.08 | 1724 (100) | 1.000 | 0 (0) |
| 2 | 15 160.57 | 3332.77 | 1071 (62) | 0.992, 0.987 | 3 (<1) |
| 3 | 14 715.82 | 1727.74 | 430 (25) | 0.906, 0.991 | 138 (8) |
| 4 | 14 627.48 | 1522.28 | 184 (11) | 0.848, 0.994 | 157 (9) |
| 5 | 14 661.55 | 809.88 | 142 (8) | 0.830, 0.993 | 207 (12) |
| 6 | 14 699.79 | 733.23 | 112 (6) | 0.754, 0.996 | 257 (15) |
| 7 | 14 771.09 | 818.78 | 22 (1) | 0.701, 0.996 | 267 (15) |
BIC, Bayes information criterion; PP, posterior probabilities.