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Ali posted on Tuesday, July 01, 2014 - 2:54 am
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Dear Muthens I have specified the following montecalo SEM model : model: f1 by y1@1 y2-y8*.7; f2 by y9@1 y10-y14*.7; f3 by y15@1 y16-y21*.7; f4 by f1@1 f2-f3*.7; f5 by y22-y24*.7; f6 by y25@1 y26-y27*.7; f6 on f5*.5; f4 on f5*.3; f4 on f6*.7; y1-y27*.3; f1-f3*1; f4*.5; f6*1; f4*1; f5*.5; But I received the following error: *** FATAL ERROR THE POPULATION COVARIANCE MATRIX THAT YOU GAVE AS INPUT IS NOT POSITIVE DEFINITE AS IT SHOULD BE. I'm not sure where I went wrong. I would appreciate your help |
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The error message refers to your Model Population command not your Model command. Often it implies that you have a zero variance, perhaps one not mentioned. If that doesn't help, send to Support. |
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Ali posted on Tuesday, July 01, 2014 - 9:32 pm
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The Population command is exactly the same as the Model command. I guess I have included everything.Isn't it related to the proportion of the coefficients in the model? I mean should each factor loading squared+the respective residual variance for each obesrved variable add up to 1? |
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They don't have to add up to 1. To be able to judge this better, you may want to send the output to support@statmodel.com with your license number. |
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