Factor Loading Greater than one PreviousNext
Mplus Discussion > Exploratory Factor Analysis >
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 Rachel Roiland posted on Sunday, August 16, 2009 - 6:29 pm
I have run an EFA and one of the factor loadings has come back greater than one. How does one attempt to correct this problem?
 Bengt O. Muthen posted on Sunday, August 16, 2009 - 6:53 pm
This means that you have a negative residual variance for that variable. This in turn means either that you have extracted too many factors or that you have a small sample so that by sampling error you estimate a negative residual variance. Deleting the variable typically doesn't help because the problem may move to another variable.

In some applications you don't get a good model fit before negative residual variances start occuring. This implies that a factor model is not a sufficiently good approximation for the data at hand.
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