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Syllabus
Schedule
Professor
Software
Data
FYA

Correlation



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.

 

Topics

  • representing data as vectors and matrices

  • profiles versus proximities

  • correlation & distance

  • measures of association

Articles

  • Cronbach, L. J., & Gleser, G. C. (1953). Assessing the similarity between profiles. Psychological Bulletin, 50, 456-473 [PDF]

Handouts

 

Homework

Data

Optional

 

Bibliography


Measures

  • 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]

Matrix Algebra

  • Kaw, Autar 2002. Introduction to Matrix Algebra. [pdf]

Send mail to sborgatti@uky.edu with questions or comments about this web site. Copyright © 2008 by Steve Borgatti. Last modified: 12/07/10.

 

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