Table 2.
Fit Indices for Dual Trajectory Model Solutions
Classes | AIC | BIC | Entropy |
---|---|---|---|
2 | 9012.098 | 9060.791 | .828 |
3 | 8708.124 | 8783.869 | .768 |
4 | 8559.691 | 8662.488 | .733 |
5a | 8443.005 | 8572.853 | .753 |
6a | 8381.070 | 8537.970 | .728 |
7a | 8364.654 | 8548.606 | .742 |
8a | 8344.484 | 8555.487 | .730 |
9a | 8327.887 | 8565.942 | .738 |
10a | 8317.993 | 8583.100 | .760 |
Note: AIC = Akaike Information Criteria; BIC = Bayesian Information Criteria.
Beginning with the 5 class solution, constraints on the threshold and slope parameters anxiety disorders in the class reflecting a consistently very low probability of having an anxiety disorder were necessary for appropriate model estimation. Lower BIC values indicate better fit. Higher entropy values indicate greater precision of class membership assignment.