Unformatted text preview: Correlation One of the most common research mistakes is to assume that a high correlation between two variables means that one variable (independent) causes some change in another variable (dependent). A correlation exists when a change in one variable coincides with a change in another variable . The fact that a correlation exists means that the two variables are associated statistically with one another. However, the mere fact that associations exist, does not necessarily mean that a change in one variable causes a change in another variable. Correlations are an indication that causality may be present. They do not necessarily indicate causation (Schaefer & Lamm, 1992: 38)....
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- Fall '10
- Correlation does not imply causation, dependent variables, Schaefer & Lamm