Table 5. Summary of Model-Estimated Transition Probabilities for Conditional Latent Transition Analysis.
IPT (n = 73)a | BWL(n = 64) | CBTgsh (n= 66)b | ||||
---|---|---|---|---|---|---|
Responder | Non-Responder | Responder | Non-Responder | Responder | Non-Responder | |
Class 1 | .99* | .01* | .99* | .01 | .99* | .01* |
Class 2 | .812 | .19 | .602 | .40 | .591 | .41 |
Class 3 | .613 | .29 | .642 | .36 | .742 | .26 |
Class 4 | .99 | .01 | .99 | .10 | .99* | .01* |
Note. Logits were transformed to probability scale to aid in interpretation. The probabilities should be interpreted as the probability of diagnostic group transitioning into the responder group, conditional upon assignment to a specific treatment.
Parameter fixed to extreme in model estimation
significantly < Class 1, Class 3, Class 4 p < .05.
significantly < Class 1, Class 4, p <.05.
significantly < Class 1, Class 2, Class 4, p < .05
Class 2: IPT > BWL, GSH
Class 3: GSH > BWL, IPT