Table 2.
Fit indices for the retained latent class model* extracting increasing numbers of clusters (conducted on men, n = 6317).
| Number of clusters extracted | # parameters | AIC | BIC | ABIC | Entropy | Posterior probabilities |
|---|---|---|---|---|---|---|
| One | 17 | 309194.5 | 309309.3 | 309255.3 | Na | Na |
| Two | 35 | 297894.4 | 298130.7 | 298019.5 | 0.852 | 0.93 – 0.97 |
| Three | 53 | 295254.2 | 295612.0 | 295443.5 | 0.745 | 0.85 – 0.93 |
| Four | 71 | 294000.5 | 294479.8 | 294254.2 | 0.733 | 0.79 – 0.94 |
| Five | 89 | 293415.9 | 294016.7 | 293733.9 | 0.702 | 0.77 – 0.93 |
| Six | ||||||
| Seven | 107 | 292878.0 | 293600.3 | 293260.3 | 0.726 | 0.77 – 0.90 |
| Eight | 125 | 292561.7 | 293405.6 | 293008.4 | 0.679 | 0.72 – 0.89 |
| Nine | 143 | 292332.4 | 293297.8 | 292843.4 | 0.671 | 0.72 – 0.88 |
| … | 161 | 292103.3 | 293190.2 | 292678.6 | 0.678 | 0.62 – 0.88 |
| Twenty | 359 | 291167.8 | 293591.4 | 292450.6 | 0.670 | 0.00 – 0.98 |
Abbreviations: ABIC, sample size adjusted Bayesian information criteria; AIC, Akaike information criteria; BIC, Bayesian information criteria.
*
This model freely estimated covariances between the two blood pressure variables and the two lipid variables, and freely estimated cluster-dependent variances.