Explain what a correlation coefficient measures, and provide examples of what different kinds of coefficients indicate.
What will be an ideal response?
- Correlation coefficients are measures of the relationship between two variables
- Coefficients can range between -1.00 and +1.00, and indicate both the strength and the direction of a relationship
- Coefficients closer to 1.00 on either end represent stronger levels of association
- Positive coefficients indicate that as scores on one variable increase, scores on the other variable increase, and vice-versa; both variables are moving in the same direction
- Negative coefficients indicate that high scores on one variable are associated with low scores on the other variable, and vice-versa; the variables are moving in opposite directions
- A correlation of .85 between height and weight indicates a strong, positive association between those two variables
- A correlation of -.30 between weight and finger dexterity indicates a weak, negative association between those two variables
- A correlation of .00 indicates no association between two variables
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