Table 3.
Model fit information for LCPA models fit to data.
| Class | N. of Parameters | AIC | BIC | Entropy | VLMR a | BLRT a |
|---|---|---|---|---|---|---|
| Daily dietary patterns | ||||||
| 2 | 34 | 591,109.562 | 591,359.409 | 0.993 | p < 0.001 | p < 0.001 |
| 3 | 46 | 580,090.445 | 580,428.473 | 0.996 | p < 0.001 | p < 0.001 |
| 4 | 58 | 575,221.906 | 575,648.116 | 0.873 | p < 0.001 | p < 0.001 |
| 5 b | 70 | 571,428.053 | 571,942.444 | 0.867 | p < 0.001 | p < 0.001 |
| 6 | 82 | 569,268.543 | 569,871.116 | 0.886 | p = 0.8711 | p < 0.001 |
| Dinner dietary patterns | ||||||
| 2 | 34 | 540,270.913 | 540,517.904 | 0.999 | p < 0.001 | p < 0.001 |
| 3 | 46 | 528,976.751 | 529,310.916 | 0.982 | p < 0.001 | p < 0.001 |
| 4 | 58 | 513,747.784 | 514,169.122 | 0.999 | p < 0.001 | p < 0.001 |
| 5 | 70 | 512,479.929 | 512,988.440 | 0.983 | p = 0.0107 | p < 0.001 |
| 6 c | 82 | 501,781.884 | 502,377.569 | 0.976 | p < 0.001 | p < 0.001 |
| 7 | 94 | 498,611.403 | 499,294.262 | 0.971 | p = 0.5023 | p < 0.001 |
Note. AIC = Akaike information criterion; BIC = Bayesian information criterion; BLRT = bootstrapped likelihood ratio test; LCPA = latent class profile analysis; VLMR = Vuong–Lo–Mendell–Rubin likelihood ratio test. a Chi-square statistic for the VLMR and the BLRT; when non-significant (p > 0.05), the VLMR and the BLRT test provide evidence that the K-1 class model fits the data better than the K-class model. b The 5-class model was selected based on its having a smaller BIC than the 4-class model, and non-significant VLMR in the 6-class model. c The 6-class model was selected based on its having a smaller BIC than the 5-class model, and non-significant VLMR in the 7-class model.