| Message/Author |
|
|
| Carlos posted on Saturday, May 15, 2004 - 9:18 am
|
|
|
How do I identify in my output the parameter that has a problem? i.e. THE STANDARD ERRORS OF THE MODEL PARAMETER ESTIMATES COULD NOT BE COMPUTED. THE MODEL MAY NOT BE IDENTIFIED. CHECK YOUR MODEL. PROBLEM INVOLVING PARAMETER 310. Is there a sequence, so that I should go through the output, starting with loadings first, then structural parameters, correlated errors, variances, etc until I reach this number? Thanks |
|
|
|
|
| If you ask for TECH1 in the OUTPUT command, you will see what parameter corresponds to the number 310. |
|
|
| carlos posted on Saturday, May 15, 2004 - 4:34 pm
|
|
|
| Thanks! |
|
|
| Anonymous posted on Thursday, September 30, 2004 - 5:15 am
|
|
|
| I'm doing a multiple group SEM and I want all parameters in my model to be free and not equal across my two groups. Is there a simple command for that? |
|
|
|
|
| If you have two groups, you need to mention the parameters that you want to free in one of the group-specific MODEL commands. You can copy these statement from the overall MODEL command. |
|
|
|
|
| I have an indicator in my measurement model that is behaving very strangely. There is an outlandishly high covariance with the other indicators and TECH 1 indicates a very high start value for that parameter. I have examined the variable and cannot find any coding issues or univariate distribution issues with it. I even cheated and tried to use it as the fixed parameter but that didn't work either. Any suggestions as to another set of diagnostics for it? |
|
|
|
|
| Is the "high covariance" a sample covariance or a model-estimated covariance? If the latter, what are the model-estimated parameters that create this covariance? |
|
|
|
|
| Sorry, a bit of delay in getting back re: my earlier post of 9/25/09. The estimated covariance between indicators under estimated sample statistics is very high (eg., over 272). |
|
|
|
|
| If this is not what you expect, you must be reading your data incorrectly. For further help, please send your input, data, output, and license number to support@statmodel.com. |
|
|
| Back to top |