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Data Analysis with IBM SPSS Statistics
book

Data Analysis with IBM SPSS Statistics

by James C. Mott, Ken Stehlik-Barry, James Sugrue, Anthony Babinec
September 2017
Beginner to intermediate
446 pages
9h 17m
English
Packt Publishing
Content preview from Data Analysis with IBM SPSS Statistics

The reduced correlation matrix and its eigenvalues

In PCA, the starting point for analysis is the original correlation matrix of the variables in the analysis. In FA, the starting point for the analysis is the reduced correlation matrix, which consists of the correlations of the measures off the main diagonal, and communalities on the main diagonal.

The fundamental equation underlying factor analysis is as follows:

original_correlation_matrix= reduced_correlation_matrix + uniquenesses

SPSS Statistics FACTOR does not report the reduced correlation matrix, but you can obtain it via the SPSS code. In truth, the communalities are not known at the start of the analysis, nor is the uniqueness. For initial estimates of the communalities, we can ...

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Publisher Resources

ISBN: 9781787283817