StdYX greater than 1 leads residual v... PreviousNext
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 Daniel posted on Thursday, February 20, 2003 - 1:49 pm
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 - 2:42 pm
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 - 5:08 pm
This is five-factor model
 bmuthen posted on Thursday, February 20, 2003 - 5:12 pm
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

www.ssicentral.com/lisrel/column2.htm
 sivani sah posted on Monday, April 03, 2006 - 12:14 pm
Thank you.I am sorry, this site is not working.
 Linda K. Muthen posted on Monday, April 03, 2006 - 1:20 pm
Try www.ssicentral.com and go to Karl's corner. Perhaps they have changed the link.
 Tim Cupery posted on Monday, September 10, 2012 - 5:55 pm
here is the current link to the Jöreskog paper, in case anyone happens across this thread:

http://www.ssicentral.com/lisrel/techdocs/HowLargeCanaStandardizedCoefficientbe.pdf
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