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. Author manuscript; available in PMC: 2017 Apr 1.
Published in final edited form as: Am J Med Genet B Neuropsychiatr Genet. 2015 Sep 3;171(7):948–957. doi: 10.1002/ajmg.b.32375

Table 5 -.

Latent Growth Model Fit in Females

Model # Cl # Params LogLik   BIC Entropy Class
     Percentages
Mother Reports (Age 7-12)
1. No Random Effects 1 4 -25320  50675
2 7 -23645  47353 .65 58, 42
3 10 -23289  46668 .61 46, 37, 17
4 13 -23250  46616 .54 42, 27, 21, 10
5 16 -23232  46607 .54 41, 22, 19, 10, 8
6   Failed to converge
2. Random Intercept 1 5 -23302  46648
2      Failed to replicate likelihood
3. Random Intercept and Slope 1 6 -23301  46657
2      Failed to replicate likelihood

Self-Reports (Age 14-18)
4. No Random Effects 1 4 -7254  14540
2 7 -6894  13843 .59 51, 49
3 10 -6823  13724 .54 48, 27, 25
4 13 -6812  13727 .52 37, 27, 25, 11
5. Random Intercept 1 5 -6824 13688
2 15 -7600  15319 .36 59, 41
6. Random Intercept and Slope 1 6 -6819  13685
2 17 -7586  15307 .40 62, 38

Piecewise Models (Age 7-18)
7. Random intercept 1 9 -34056 68294
2 15 -34000  68136 .31 .61, .39
8*. Rater Mean Difference = 0 1 8 -34190  68453

* χ2=216.4, df=1, p < 1E-16

Latent class growth models for maternal and self-ratings separately, and jointly using a piecewise model. Models were estimated with an increasing number of classes (Cl). Shown are the number of estimated parameters in the model, the final log likelihood value, the Bayesian information criterion (BIC), Entropy, and class proportions. Models with multiple classes did not have significantly lower BIC than models with a single class (bold). For the self-reports, a likelihood ratio test showed that the random slope (6) did not improve fit, so model (5) was chosen. For the piecewise models, we selected a single class model because entropy was low indicating poor class assignment. Secondly, the BIC of the two class model fell within 1 SD of bootstrapped BIC for the single class model (BIC SD = 1264). Model 8 tested whether the second intercept was necessary to model the discontinuity between raters at ages 12 and 14. This was done by testing whether the mean of the second intercept could be set equal to 0. This model fit significantly worse than the unconstrained model, indicating a mean difference between raters.