Re[2]: Covariance: Matrix=S or Matrix=R

From: Nele Mueller-Plock Date: September 14, 2005 technical Source: cognigencorp.com
From: "Nele Plock" nplock@zedat.fu-berlin.de Subject: Re[2]: [NMusers] Covariance: Matrix=S or Matrix=R Date: Wed, 14 Sep 2005 16:57:26 +0200 Michael, If the R-matrix fails this might indicate that you have not reached a global minimum but a saddle point. It could also indicate that the model is overparameterised. Try using a more simple model (in either structural or statistical aspects). S-matrix usually runs easier, but this does not mean you can always trust it. However, Im not an expert on this, so I cannot tell you whether your estimates represent the best fit. If you shared some of your data and control file with the group, maybe somebody else might be able to help you. Nele Plock
Sep 13, 2005 Zhenhua Xu Covariance: Matrix=S or Matrix=R
Sep 14, 2005 Nele Mueller-Plock Re: Covariance: Matrix=S or Matrix=R
Sep 14, 2005 Nele Mueller-Plock Re[2]: Covariance: Matrix=S or Matrix=R
Sep 14, 2005 Stephen Duffull RE: Re[2]: Covariance: Matrix=S or Matrix=R
Sep 15, 2005 Mark Sale RE: Re[2]: Covariance: Matrix=S or Matrix=R
Sep 15, 2005 Stephen Duffull RE: Re[2]: Covariance: Matrix=S or Matrix=R