An eigenvalue is defined as the amount of total variance explained by each factor, with the total amount of variability in the analysis equal to the number of original variables in the analysis.

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An eigenvalue represents the amount of variance in the original variables that is accounted for by a factor. The sum of the eigenvalues equals the total variance or the number of variables in factor analysis, indicating how much of the overall variability is captured by each factor.

An Eigenvalue Is Defined as the Amount of Total Variance