kmo and Bartlett's test of sphericity in factor analysis

Version 1.0.0 (1.66 KB) by qqffssxx
Using MATLAB's statistical and machine learning toolbox to calculate kmo and Bartlett's test of sphericity in factor analysis
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Updated 24 Mar 2023

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Using MATLAB's statistical and machine learning toolbox to calculate kmo and Bartlett's test of sphericity in factor analysis:
Generate a set of random numbers to test these two functions:
x1 = rand(100,4);
qf_kmo(x1)
qf_bartlett(x1)
==============================
KMO: 0.49596
==============================
==============================
Bartlett's test of sphericity
Chi-square statistic: 5.4061
Degrees of freedom: 6
P-value: 0.49288
==============================
For a group of identical data tests, the results obtained by these two functions are exactly the same as those reported by the SPSS software.

Cite As

qqffssxx (2026). kmo and Bartlett's test of sphericity in factor analysis (https://www.mathworks.com/matlabcentral/fileexchange/126744-kmo-and-bartlett-s-test-of-sphericity-in-factor-analysis), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2020a
Compatible with R2010b and later releases
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired by: kmo

Version Published Release Notes
1.0.0