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Block Design and Similarity Matrix Analysis by Stephen MIdland is a document available to read on EtoBox.

What is Block Design and Similarity Matrix Analysis about?

The document appears to contain correlation data and statistics from a factor analysis (FA) and principal component analysis (PCA) that was performed on a set of cognitive tests. PCA was used to reduce the variables into a smaller number of components that account for most of the variance in the data. FA was used to understand the underlying constructs measured by the tests. The analyses identified 2 main factors or components that explained most of the variability in test scores.

Author

Stephen MIdland

Language

EN