Dear LIst: I just ran an EFA with 48 variables using SPSS 26 and obtained the following statistics

Kaiser-Meyer-Olkin Measure of Sampling Adequacy = .701

Bartlett's Test of Sphericity chi square = -52.441, df = 1035, sign= 1.00

So the KMO suggests that a factor analysis is appropriate but the correlation matrix is an identity matrix.

The test of sphericity suggests that I have an Identity correlational matrix and thus factor analysis is not warranted.

But why is the chi squared negative?

I have tried to search for when one would get a negative chi square for the Bartlett testy but have

been unsuccessful so far. Can anyone point me in the direction to find out why the Chi squared value is negative.

thanks, martin sherman

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