StdYX greater than 1 leads residual v... PreviousNext
Mplus Discussion > Confirmatory Factor Analysis >
 Daniel posted on Thursday, February 20, 2003 - 7:49 am
What is the problem that StdYX exceeds one?
Does that matter?

If StdYX (or Std) is greater than 1, e.g.,1.020, the residual variance will be -0.040. And R-Square is undefined. Following that there is 0.10400E+01. Should I use 0.10400E+01. as R-Square?
 bmuthen posted on Thursday, February 20, 2003 - 8:42 am
If this is a 1-factor model you have an inadmissible solution (since variances should be positive) and you would want to modify your model.
 daniel posted on Thursday, February 20, 2003 - 11:08 am
This is five-factor model
 bmuthen posted on Thursday, February 20, 2003 - 11:12 am
This may be a sign that the factor covariance matrix is not positive definite as it should be. For example, check for correlations greater than 1. However, for a fuller treatment of the topic of standardized coefficients greater than 1, see Joreskog's writing at
 sivani sah posted on Monday, April 03, 2006 - 6:14 am
Thank you.I am sorry, this site is not working.
 Linda K. Muthen posted on Monday, April 03, 2006 - 7:20 am
Try and go to Karl's corner. Perhaps they have changed the link.
 Tim Cupery posted on Monday, September 10, 2012 - 11:55 am
here is the current link to the Jöreskog paper, in case anyone happens across this thread:
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