Hilbert, Sven and Bühner, Markus
(2020):
Principal Components Analysis.
In: Zeigler-Hill, Virgil and Shackelford, Todd K. (eds.) :
Encyclopedia of Personality and Individual Differences. 2020 Edition. Cham: Springer International Publishing. pp. 4030-4034
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 |
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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 |
Item ID: | 91969 |
Date Deposited: | 27. Apr 2022, 10:57 |
Last Modified: | 27. Apr 2022, 10:57 |