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Results of parallel vs. separate grow...
Growth Modeling of Longitudinal Data
posted on Wednesday, October 04, 2017 - 10:02 am
I have two variables A and B which were each measured at 7 timepoints.
When I run two separate growth curve models, the intercepts and the slopes for both models (A and B) are significant.
When I run a parallel growth curves model in which the intercepts and slopes for A and B are allowed to correlate with each other, the slopes are no longer significant.
I am not sure I understand why slopes would no longer be significant when both sets of variables are entered in the model simultaneously? Any insight would be appreciated. Thank you!
Bengt O. Muthen
posted on Wednesday, October 04, 2017 - 3:13 pm
Send both outputs to Support along with your license number.
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