Separation of Data as a Principle in Factor Analysis  

Oleh:

Harris, Chester W.

Jenis: Article from Journal - e-Journal
Dalam koleksi: Psychometrika: A Journal of Quantitative Psychology vol. 20 no. 1 (Mar. 1955), page 23-28.
Topik: Separation of Data; Factor Analysis; Diagonal Cells; Factoring Correlations
Fulltext: Vol 20 No.1 March 1955 p.23-28.pdf (343.78KB)

Isi artikel

Two systems of factor analysis—factoring correlations with units in the diagonal cells and factoring correlations with communalities in the diagonal cells—are considered in relation to the commonly used statistical procedure of separating a set of data (scores) into two or more parts. It is shown that both systems of factor analysis imply the separation of the observed data into two orthogonal parts. The matrices used to achieve the separation differ for the two systems of factor analysis.

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