Thanks in advance!

- Thread starter sm34833
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- Tags panel data regression structural equation model

Thanks in advance!

Y1T2 = alpha + betaY1T1 + betaY2T1; and

Y2T2 = alpha + betaY2T1 + betaY1T1

where Y1 and Y2 are your analysis variables and T1 and T2 are your time waves. This is not perfect as you often get interesting information from the correlation of the residuals for Y1T2 and Y2T2 among other things. You can of course just use manifest variables (i.e. your scale scores not latent variables) in AMOS to run the crosslagged model. I think this would be the best approach.

I've never used amos either but I assume you have it as it comes with SPSS. The SEM model with manifect variables is simple enough really you just have a model in which Time 1 variables predict each other and themselves at Time 2. Check out Figure 1 in the article I linked you to above.

It is relatively straight forward to do in but perhaps I can advice you better if I had some more details on your project. Can you give an idea of sample size and variables?

I'm mainly interested in understanding the temporal ordering of increases in Y1 and increases in each of the other correlates (cross-sectional data suggest these variables are all correlated, now I would like to understand how they develop those relationships).