Table 3.
Monte Carlo Estimates through Mixture Estimation When Two Missing Data Cells are Present
| Mixture estimation | |||||
|---|---|---|---|---|---|
|
| |||||
| Group | Growth factor | Parameter | Generated | Two missing cells in different groups | Two missing cells in one group |
| G1 | Intercept | 5.0 | 5.000 (.074) | 5.000 (.074) | 5.000 (.074) |
| Linear slope | 0.1 | 0.098 (.024) | 0.098 (.024) | 0.098 (.024) | |
|
| |||||
| G2 | Intercept | 3.0 | 2.988 (.131) | 2.987 (.132) | 2.988 (.132) |
| Linear slope | 0.5 | 0.501 (.043) | 0.501 (.043) | 0.501 (.043) | |
|
| |||||
| G3 | Intercept | 7.0 | 6.990 (.188) | 6.991 (.188) | 6.990 (.188) |
| Linear slope | −0.1 | −0.098 (.061) | −0.097 (.066) | −0.098 (.061) | |
|
| |||||
| G4 | Intercept | 6.0 | 5.980 (.253) | 5.986 (.260) | 5.988 (.263) |
| Linear slope | −0.6 | −0.615 (.083) | −0.622 (.107) | −0.620 (.112) | |
Note. The multigroup latent growth model was based on five indicator variables. Under the ‘Generated’ column, estimates were from the data sets generated at the normative values. Under the ‘Two missing cells in different groups,’ all the responses on the 5th time point in Group 4 and on the 4th time point in Group 3 were completely missing. Under the ‘Two missing cells in one group,’ all the responses on the 3rd and 5th time point in Group 4 were completely missing.