Hello,
I have conducted an analysis using Group-Based Trajectory Modeling (GBTM) and identified four groups.
Next, I would like to check whether the posterior probability of belonging to each group is, on average, above 0.7.
However, I am unsure which value I should use.
Additionally, I would like to evaluate the accuracy of group assignment using the "Odds of Correct Classification (OCC)" and check whether this value is greater than 5.
If you have relevant code or information on how to compute OCC, I would appreciate your guidance.
Thank you.
==== code ====
traj, var(total_*) indep(year_*) model(cnorm) min(0) max(100) order(3 3 3 3)
list _traj_Group _traj_ProbG1 _traj_ProbG2 _traj_ProbG3 if _n < 4, ab(12)
====result====
Which 1 of the following values should I use?
Should I use the average of all values?
I have conducted an analysis using Group-Based Trajectory Modeling (GBTM) and identified four groups.
Next, I would like to check whether the posterior probability of belonging to each group is, on average, above 0.7.
However, I am unsure which value I should use.
Additionally, I would like to evaluate the accuracy of group assignment using the "Odds of Correct Classification (OCC)" and check whether this value is greater than 5.
If you have relevant code or information on how to compute OCC, I would appreciate your guidance.
Thank you.
==== code ====
traj, var(total_*) indep(year_*) model(cnorm) min(0) max(100) order(3 3 3 3)
list _traj_Group _traj_ProbG1 _traj_ProbG2 _traj_ProbG3 if _n < 4, ab(12)
====result====
Which 1 of the following values should I use?
Should I use the average of all values?
