Abstract
Correlation describes whether two variables ‘go together’. Correlation is a general term, covering various different kinds of association or relationship between two variables. Correlation does not imply causality. Correlations may be positive or negative, linear (looking like a straight line) or nonlinear (curved), and strong or weak. There are several different measures of correlation. Correlation measures range from +1, indicating perfect positive agreement to −1, indicating perfect negative agreement. The most appropriate measure depends on the type of measurement scale and distribution of both variables and the shape of the relationship between them.
| Original language | English |
|---|---|
| Title of host publication | Encyclopedia of Statistics in Behavioral Science |
| Subtitle of host publication | Everitt Behavioral |
| Publisher | Blackwell |
| Pages | 1-3 |
| Number of pages | 3 |
| ISBN (Electronic) | 9780470013199 |
| ISBN (Print) | 9780470065259 |
| DOIs | |
| Publication status | Published - 1 Jan 2006 |
Keywords
- association
- bivariate data
- correlation measures
- linear and nonlinear relationships
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