Published Online: 30 JAN 2010
Copyright © 2010 John Wiley & Sons, Inc. All rights reserved.
Corsini Encyclopedia of Psychology
How to Cite
Cohen, B. H. 2010. Multiple Correlation. Corsini Encyclopedia of Psychology. 1.
- Published Online: 30 JAN 2010
Multiple linear correlation, which is the simplest and most common form of multiple correlation, is usually measured by a coefficient that ranges between zero and one (symbolized as R); it represents the highest possible degree of association between a weighted linear combination of several given predictor variables and a single criterion variable. For any particular case in a dataset, a prediction can be generated by multiplying its values on each of the predictor variables by the optimal weighting coefficients found by the least-squares method and adding a constant. R is then the ordinary Pearson's coefficient of linear correlation (r) between the predicted and actual criterion values.
- coefficient of multiple determination;
- proportion of variance accounted for;
- unexplained variance;
- adjusted R;
- least-squares method