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| Bivariate Latent Difference Score Ana... |
 
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Hi Drs. Muthen,
We are attempting to run a bivariate latent difference score analysis, measuring the latent change attributed to constance/nonstationarity and change attributed to autoregressive/proportionality – the change in our variable of interest as attributed to the other variable’s estimate at the previous time point. We have 5 time points that have observed measurements.
In attempting to run the bivariate latent difference score analysis, as detailed in LDS in longitudinal research (King et. Al, 2006), we came across the following error:
THE ESTIMATED COVARIANCE MATRIX COULD NOT BE INVERTED.
COMPUTATION COULD NOT BE COMPLETED IN ITERATION 2.
CHANGE YOUR MODEL AND/OR STARTING VALUES.
THE MODEL ESTIMATION DID NOT TERMINATE NORMALLY DUE TO AN ERROR IN THE
COMPUTATION. CHANGE YOUR MODEL AND/OR STARTING VALUES.
We are not sure why we’re receiving this – particularly because we were able to successfully run the analysis on the rest of our variables of interest. Essentially we compared variables 1-4 on change in 5 and variable 5 on change in variables 1-4; in this particular case, we are only having a problem with the model that compares variable “2” with “5” and vice-versa, so we are sure that it isn’t a problem with the variable 5.
Could we please have some advice on how to proceed with troubleshooting?
Thank you very much. |
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| We need to see the full output and probably the data too - send to Support along with your license number. |
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