

Growth curve multilevel modeling 

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Hey everyone, At the moment I try to create a growth curve for anxiety over seven sequenced measure points. I would like to determine the slope factor as a linear function of the passed time. Besides the Interceptparameter shall be explained through a few personspecific covariates (GE,SEB,ASK,FSSK,ERW,EXT,WI). Overall it shall become a multilevel analysis with longitudinal data. Since now I have written the following command: title: Computing the growth curve data: file = DataforLWK.dat; variable: names = PA1,PA2,PA3,PA4,PA5,PA6,PA7,GE,SEB,ASK,FSSK,ERW,EXT,WI; missing = all (99); model: interc linear  PA1@0 PA2@1 PA3@2 PA4@3 PA5@4 PA6@5 PA7@6; interc on GE,SEB,ASK,FSSK,ERW,EXT,WI; output: sampstat standardized stdyx; plot: type = plot3; series = PA1 (linear) PA2 (linear) PA3 (linear) PA4 (linear) PA5 (linear) PA6 (linear); Is this command correct? Rolph 


I’m confused by one thing: When I run the command and display the graphic "Sample & estimated means", the estimated means show a horizontal curve. But I thought that I made clear that the curve should gain linearly ("interc linear  PA1@0 PA2@1 PA3@2 PA4@3 PA5@4 PA6@5 PA7@6"). Can someone help me with that? Many thanks! 


What is the mean of linear? See TECH4 to find it. 


The estimated mean of linear is 0.003. What shall I do now? 


This value is the average slope of the growth curve. It is zero or flat  a horizontal line. Look at your observed means. They probably show this same trend. 


But my theory says that the values should rise linearly. Can't I estimate a model with, let's say, has a growth of 1 instead of zero? 


Your data does not seem to agree with your theory. The results show what is found in the data. 

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