Table 3.
Univariate and Bivariate Standardized Residuals
Model | Value of Standardized Residual | |||
---|---|---|---|---|
Univariate (16 Cells) | 2 – 3 | 3 – 4 | 4 – 5 | Total |
HGLM | 1 | 0 | 0 | 1 |
GMM | ||||
Intercepta | ||||
2 Classes | 0 | 0 | 0 | 0 |
3 Classes | 1 | 0 | 0 | 1 |
Int, Linear Slopea | ||||
2 Classes | 2 | 0 | 0 | 2 |
Int, Lin, Quadratic Slopesa | ||||
2 Classes | 2 | 0 | 0 | 2 |
LCGA | ||||
3 Classes | 0 | 0 | 0 | 0 |
4 Classes | 0 | 0 | 0 | 0 |
LLCA | ||||
2 Classes | 0 | 0 | 0 | 0 |
3 Classes | 0 | 0 | 0 | 0 |
4 Classes | 0 | 0 | 0 | 0 |
Model | Value of Standardized Residual | |||
Bivariate (160 Cells) | 2 – 3 | 3 – 4 | 4 – 5 | Total |
HGLM | 6 | 0 | 1 | 7 |
GMM | ||||
Intercepta | ||||
2 Classes | 13 | 3 | 0 | 16 |
3 Classes | 6 | 4 | 0 | 10 |
Intercept, Lineara | ||||
2 Classes | 14 | 4 | 0 | 18 |
Intercept, Linear, Quadratica | ||||
2 Classes | 12 | 3 | 0 | 16 |
LCGA | ||||
3 Classes | 11 | 0 | 1 | 12 |
4 Classes | 8 | 0 | 1 | 9 |
LLCA | ||||
2 Classes | 12 | 3 | 0 | 15 |
3 Classes | 3 | 0 | 0 | 3 |
4 Classes | 2 | 0 | 0 | 2 |
Note. All models estimated with intercept, and linear and quadratic slopes. GMM = generalized linear growth mixture model, LCGA = generalized linear latent class growth analysis (all variances and covariances estimated), LLCA = longitudinal latent class analysis,
Variances that were estimated; all covariances constrained to zero