Principal Components Analysis

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
• 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