I am trying to calculate the power in my SEM analysis post-hoc. How exactly should I do this? What is the power for the R-squared result of IT-T2 and IT-T3?
Background info: Sample size is 255. IT and SD are two different personality traits that were measured across three points in time (during an intervention). I originally assumed they would influence each other over time, but those paths turned out to be non-significand and I deleted them.
I used calculations with different results. For T3 one calculation came up with 0.9989 and another with 0.1763. Should I test the power here like a student’s t-test or like a multiple regression? I originally assumed SD will also be a predictor for IT but those estimates were not significant, leaving IT-T2 the only predictor of IT-T3. So no multiple regression?
Pictured are standardized estimates in my model: