Eigenvalues/characteristic roots
Summary
Eigenvalues measure the amount of variation in the total sample accounted for by each factor. The ratio of eigenvalues is the ratio of explanatory importance of the factors with respect to the variables. If a factor has a low eigenvalue, then it is contributing little to the explanation of variances in the variables and may be ignored as less important than the factors with higher eigenvalues.
Further reading
- Wikipedia, page 253492, revision 1371953697, Factor analysis, section Practical implementation > Terminology. adopted
About this page
| Tag | S10J3YG7QZ |
|---|---|
| URI | m2://S10J3YG7QZ |
| Kind | concept |
| Writing | W1 stated |
| Changed | 4 November 2026 |
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