Bounds are obtained for a coefficient proposed by Kaiser as a measure of average correlation and the coefficient is given an interpretation in the context of reliability theory. It is suggested that the root-mean-square intercorrelation may be a more appropriate measure of degree of relationship among a set of variables.
Get full access to this article
View all access options for this article.
References
1.
Bellman, R.Introduction to matrix analysis . New York: McGraw-Hill, 1960, 110-111.
2.
Cronbach, L. J.Coefficient alpha and the internal structure of tests. Psychometrika, 1951, 16, 297-334.
3.
Cureton, E. E.A measure of the average intercorrelation . EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, 1971, 31, 627-628.
4.
Kaiser, H. F.A measure of the average intercorrelation . EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, 1968, 28, 245-247.
5.
Lord, F. M.Some relations between Guttman's principal components of scale analysis and other psychometric theory. Psychometrika, 1958, 23, 291-296.
6.
Mosier, C. I.On the reliability of a weighted composite. Psychometrika, 1943, 8, 161-168.