Multivariate Analyses of a Nexus
|A.||The correlations among these five variables, based on a large sample of white males, aged twenty-five to sixty-four, are shown in Table C.1.|
|B.||A principal components PC analysis yields two meaningful components, labeled I and II (see Table C.2). The remaining three PCs have been dropped based on the criterion that their eigenvalues (or latent roots) are less than one.|
|C.||Also shown are the multiple correlations (Rs) of each variable with every other variable in the matrix. They indicate the degree to which any given variable in the nexus can be predicted by all of the other variables in the nexus. The proportion of variance that any given variable has in common with all of the other variables is indicated by R2. The fact that all of the loadings on PC I (i.e., the general factor in this matrix) are all fairly large indicates that this is a quite close-knit nexus; the main division among the variables is clear from the opposite signs for the father and child variables in PC II. The multiple R and the R2 for Father's Education are the smallest in the whole set, showing that it is the least well predicted by all of the other variables. The Child's Education|
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Publication information: Book title: The G Factor:The Science of Mental Ability. Contributors: Arthur R. Jensen - Author. Publisher: Praeger. Place of publication: Westport, CT. Publication year: 1998. Page number: 593.