

INTERPREATION OF LOG ODDS CHANGE WITH... 

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Hi, I have a question about interpreting change in the log odds when dealing with a nonlinear model. I released the final 2 of my four time points, improving the fit of my measurement model to the data. My factor loadings from the slope factor are 0, 1, 1.543, and 2.055, for times 14, respectively. My Beta (slope mean) is .134. Also, is this interpretation affected by the fact that my data is measured on four unequal time points? Time points13 are spaced by 6 month intervals. Time four occurs 1 year after time 3. Unfortunately, the linear model (0,1,2,4) didn't fit the model quite as well as when I freed the final two time points. I'd appreciate your response. I am much obliged for your help. 

bmuthen posted on Thursday, November 07, 2002  8:32 pm



When your time scores are linearly developing like 0, 1, 2, 3, the change from time to time is constant, and is equal to the betamean. If time scores are 0, 1, 2, 4, the change from the 3rd to the fourth time point is (42)*betamean. The change from 1st to 4th is (40)*betamean. With estimated time scores, you use the estimated values in an analogous way. 

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