Table 3.
Estimated class proportions for the two class solution (class1/class2) of the regression mixture model when the covariance between the latent class (C) and predictor (x) is included or excluded.
| N=6,000 | N=2,000 | |||||
|---|---|---|---|---|---|---|
|
| ||||||
| 10% quantile | 50% quantile | 90% quantile | 10% quantile | 50% quantile | 90% quantile | |
|
| ||||||
| C on x included | ||||||
| sd=0 | .42/.58 | .50/.50 | .57/.43 | .33/.67 | .49/.51 | .63/.37 |
| sd=.5 | .42/.58 | .51/.49 | .58/.42 | .18/.82 | .49/.51 | .65/.35 |
| sd=1 | .44/.76 | .51/.49 | .58/.42 | .34/.66 | .51/.49 | .65/.35 |
| sd=2 | .43/.57 | .51/.49 | .59/.41 | .35/.651 | .52/.481 | .67/.331 |
| C on x omitted | ||||||
| sd=0 | .42/.58 | .50/.50 | .57/.42 | .34/.66 | .49/.51 | .61/.39 |
| sd=.5 | .50/.50 | .59/.41 | .66/.34 | .45/.55 | .59/.41 | .71/.29 |
| sd=1 | .56/.44 | .65/.35 | .72/.28 | .49/.51 | .64/.36 | .75/.25 |
| sd=2 | .55/.45 | .70/.30 | .78/.22 | .48/.52 | .70/.30 | .83/.17 |
1
Results based on n=498 repetitions due to extreme values fixed for the latent class intercept on two replications.
C=latent class variable, x=predictor, C on x represents the pathway of interest in this article, N=sample size, sd=standard deviation (class separation).