The focus of our discussion will be the Pearson correlation
coefficient, but the more general topic is measures of association among
variables. We talk about different ways of thinking about association, such as
similarity of profiles or ability to predict the values of one given that one
knows the values of the other.
Cronbach, L. J., & Gleser, G. C. (1953).
Assessing the similarity between profiles. Psychological Bulletin,
50, 456-473 [PDF]
- Robinson, W.S. 1953. The Statistical Measurement of
Agreement. American Sociological Review 22(1): 17-25 [pdf]
- Goodman, Leo A. and Kruskal, William H. (1979) Measures of
association for cross classifications. New York, Springer-Verlag.
- Cowgill, G. L. 1990. Why Pearson's r is not a good similarity
coefficient for comparing collections. American Antiquity 55:512-521.
- Zegers, F. E., & ten Berge, J. M. F. (1985). A
family of association coefficients for metric scales.
Psychometrika, 50(1), 17-24 [PDF]
Kaw, Autar 2002. Introduction to Matrix Algebra. [pdf]
Send mail to
questions or comments about this web site. Copyright © 2008
by Steve Borgatti. Last modified: