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Factor Loading Greater than one |
 
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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? |
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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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