Table 6.
Parameters & Fit | (a) Interval WCESD No AR Change |
(b) Interval WCESD AR(1) Change |
(c) Interval WCESD Dual Change |
(d) Ordinal WCESD* Linear Change |
(e) Ordinal WCESD* AR(1) Change |
(f) Ordinal WCESD* Dual Change |
---|---|---|---|---|---|---|
Fixed Effects | ||||||
Mean intercept, µ0 | 1.48 (91) | 1.60 (100) | 1.47 (103) | =0 | =0 | =0 |
Mean slope, µ1 | −0.03 (4.3) | =0 | −1.48 (−9.1) | −0.46 (2.5) | =0 | −0.04 (1.5) |
Constant change, α | =1 | =0 | =1 | =1 | =0 | =1 |
Proportion change, β | =0 | −0.13 (4.0) | 0.03 (0.8) | =0 | −0.07 (2.0) | 0.03 (0.4) |
Scaling coefficients, T | =1 | =1 | =1 | 0.5, 1.4 2.0, 2.7, 3.6 |
0.5, 1.4 2.0 2.6, 3.4 |
0.5, 1.4 2.0 2.7, 3.6 |
Variable Intercepts, µ | =0 | 0.18 (3.4) | =0 | =0 | −0.05 (2.6) | =0 |
Random Effects | ||||||
Intercept Variance, σ02 | 0.57 (20) | 0.51 (15) | 0.53 (22) | =1 | =1 | =1 |
Slope Variance, σ12 | 0.01 (1.2) | =0 | 0.56 (17) | 0.011 (0.6) | =0 | 0.10 (0.3) |
Common slope-level, σ01 | −0.04 (20) | =0 | −0.54 (20) | −0.04 (1.1) | =0 | −0.30 (0.5) |
Unique Variance, ψ2 | 0.49 (38) | 0.44 (19) | 0.50 (37) | 0.78 (8.8) | 0.67 (7.0) | 0.77 (9.7) |
Residual Variance, σe2 | =0 | 0.06 (2.0) | =0 | =0 | 0.11 (1.7) | =0 |
Goodness of Fit | ||||||
Misfit index χ2 / df | 31.3 / 8 | 21.9 / 8 | 29.2 / 7 | 13.7 / 17 | 10.7 / 17 | 13.8 / 16 |
Change in fit Δχ2 / Δdf | 42.7 / 3 | 51.1 / 3 | 1.9/1; −8.3/1 | 47.3 / 3 | 50.3 / 3 | −0.1/1;−2.9/1 |
WLSM scaling factor κ | 1 | 1 | 1 | 0.772 | 0.796 | 0.734 |
RMSEA ε | 0.02 | 0.02 | 0.02 | 0.00 | 0.00 | 0.00 |
Note: Weighted least squares mean (WLSM) estimator based on weighted least squares plus mean adjusted variances. Sample size N=6,942, 15 patterns of incomplete data; Level Only Baseline for the two scalings are WCESD=74./11 with ε=0.03, and WCESD
=61./20, m=0.900, ε=0.02; AR = auto-regression; Root Mean Square Error of Approximation = RMSEA.