What exactly is tested with Bartlett's sphericity test?

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SUMMARY

Bartlett's sphericity test, utilized in SPSS via the command sequence Analysis / Dimension reduction / Factor / PRINT KMO, assesses whether the correlation matrix significantly deviates from an identity matrix, indicating zero correlations among variables. This test is essential for determining the appropriateness of factor analysis. The discussion clarifies that Bartlett's test serves two purposes: testing for equal variances in dependent samples and examining the presence of zero correlations in the correlation matrix. Colleague Jules Ellis highlights the distinction between the sphericity test and the variance homogeneity test.

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  • Understanding of SPSS software and its command sequences
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  • Familiarity with correlation matrices
  • Basic statistical principles regarding variance and homogeneity
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What exactly is tested with Bartlett's sphericity test? Is it equality of variances in dependent samples or is it an identity matrix?
In SPSS with the command sequence:

Analysis / Dimension reduction / Factor / PRINT KMO

Bartlett's sphericity test can be calculated. Now I read on:

https://www.itl.nist.gov/div898/handbook/eda/section3/eda35a.htm

that this test is a test for equal variances in dependent samples. My question is whether that is indeed the case. Because on Youtube:



it is claimed that the test would also test for zero correlations in the correlation matrix. What exactly is the case now? Is both the case and how is that possible?
 
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