Skip to main content

Advertisement

Table 2 Latent class growth analysis and growth mixture modelling: comparisons of models

From: Perinatal depressive symptoms among low-income South African women at risk of depression: trajectories and predictors

Classes BIC AIC Entropy Size (%) of smallest class LMRT statistic (p-value) BLRT statistic (p-value)
Quadratic LCGAa
 2 7825.996 7770.687 0.742 26.0 203.838 (< 0.001) − 3977.544 (< 0.001)
 3 7809.547 7738.435 0.750 4.6 38.630 (0.034) − 3871.344 (0.030)
 4 7817.215 7730.301 0.718 4.6 15.483 (0.304) − 3851.218 (0.288)
 5 7828.413 7725.696 0.584 3.9 12.097 (0.657) − 3843.151 (0.647)
Quadratic GMM b
2 7797.269 7722.207 0.816 8.6 38.789 (< 0.001) − 3862.313 (< 0.001)
 3 7799.594 7708.730 0.807 4.2 20.612 (0.503) − 3842.104 (0.488)
 4 7814.876 7708.209 0.762 1.6 8.177 (0.234) − 3831.365 (0.229)
 5 7822.705 7700.235 0.771 1.3 15.330 (0.123) − 3827.105 (0.115)
  1. AIC = Akaike Information Criterion, BIC=Bayesian Information Criterion; BLRT = Bootstrap Likelihood Ratio Test, LMRT = Lo-Mendell-Rubin Test; aLatent curve growth analysis; bgrowth mixture modelling
  2. Note: the final model selected is indicated in bold