| Hilbert, Sven; Bühner, Markus (2020): Principal Components Analysis. In: Zeigler-Hill, Virgil; Shackelford, Todd K. (eds.) : Encyclopedia of Personality and Individual Differences. 2020 Edition. Cham: Springer International Publishing. pp. 4030-4034 |
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Abstract
A principal component analysis decomposes the covariance (or correlation) matrix into independent components, which comprise decreasing amounts of variance, reflected by their respective eigenvalues.
| Item Type: | Book Section |
|---|---|
| Form of publication: | Publisher's Version |
| Faculties: | Psychology and Education Science > Department Psychology > Psychological Methodology and Diagnostic |
| Subjects: | 100 Philosophy and Psychology > 150 Psychology 300 Social sciences > 310 Statistics |
| Place of Publication: | Cham |
| Language: | English |
| ID Code: | 91969 |
| Deposited On: | 27. Apr 2022 10:57 |
| Last Modified: | 27. Apr 2022 10:57 |
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