Table 7.
Parameter Estimates for Models 1LDS and 2LDS2 fitted to MHS and AAPT Data
| MHS Sample | AAPT Sample | |||
|---|---|---|---|---|
| Model | 1LDS | 2LDS1(2a) | 1LDS | 2LDS1(2a) |
| Means | ||||
| µ0 Level | 2.755 (.050) | 2.825 (.052) | 1.201 (.018) | 1.356 (.036) |
| µs Slope | 2.049 (.725) | 1.976 (.447) | .347 (.186)ns | .762 (.165) |
| µI Increment | .068 (.022) | .068 (.015) | ||
| By Auto-proportion | −.699 (.255) | −.657 (.153) | −.232 (.156)ns | −.571 (.127) |
| Variances/Covariances | ||||
| σ02 Level | .584 (.128) | .531 (.063) | .075 (.022) | .135 (.036) |
| σS2 Slope | .164 (.132)ns | .151 (.081)ns | .003 (.011)ns | .015 (.012)ns |
| σI2 Increment | .006 (.004)ns | .003 (.003)ns | ||
| σ0S Level-Slope | .270 (.116) | .259 (.077) | −.013 (.009)ns | −.002 (.010)ns |
| σ0I Level-Increment | .013 (.005) | .009 (.004)ns | ||
| σSI Slope-Increment | .001 (.006)ns | −.001 (.003)ns | ||
Note. Values in parentheses indicate standard errors. All values are maximum likelihood estimates from Mplus. For the MHS sample, the basis coefficients were fixed to βt = [0, 1, 2, 3]. For the AAPT sample, the coefficients for the slope were fixed to βt = [−2, −1, 0, 2, 3] and for the increment to βt = [0, 0, 0, 2, 3]. “ns” indicates a parameter whose 95% confidence interval includes zero.