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Dear Linda,
I am trying to run a BSEM and keep getting an error message. The BSEM contains 5 latent variables, each has between 7 and 10 indicators. I want to assume cross-loadings and correlated residuals with priors as suggested in the white paper. However, regarding the correlated residuals, I do not want to allow them for the indicators from one latent variable. I keep getting the following error: THE PRIOR SPECIFICATION FOR PARAMETER 253 IS NOT AVAILABLE.
This parameter is the first residual covariance. If we allow all residual covariances, the model converges. However, this is not what we wanted to do. Do you have any advice?
Thanks,
Matthias |
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| I don't think we can do this. |
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Dear Bengt and Linda,
How would you classify a PPP-value of 0.233?
Kind regards, Leonhard |
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| That reflects decent fit. |
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