(symbol: λ) n. a numerical index, commonly used in factor analysis and principal components analysis, that indicates the portion of the total variance among several correlated variables that is accounted for by a more basic, underlying variable or construct. An eigenvalue may be computed as the sum of the squared factor loadings for all the variables. Eigenvalues are of central importance in linear algebra (i.e., matrix algebra).