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Structural Equation Modeling
posted on Wednesday, September 12, 2007 - 5:22 pm
Hi I am working on a very complex model. The details are as follows:
# LV's = 15 (each having on an average of about 6 variables of the 5 point rating scale type)
Final Destination variable = 1 (another 5 point rating question type)
The underlying structure between the LV's leading to the final destination variable can be complex and has quite a lot amount of flexibility.
I tried few iterations which leads to results like :
df = 2835
CMIN = 10477.5
p = 0.000
my model = 0.116
independence model = 0.19
The model is in pretty bad shape. Is there any methodical way of coming to a good model which gives some good underlying business hypothesis to these variables?
Or is it that I would have to continue shooting in the dark?
Linda K. Muthen
posted on Tuesday, September 18, 2007 - 10:27 am
I would start out with an EFA of the observed variables for your latent variables to see if the structure you are specifying is even close to fitting the data.
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