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Correlation Design
UED 691
| Question | Answer |
|---|---|
| What is correlation research? | Used to describe and measure the relationship between to more variable or sets of scores |
| What does co-vary mean? | We can predict a score of one variable |
| Why use correlation research? | To find out if two or more variables influence each other |
| What is explanatory design? | Examines where changes in one variable reflect changes in another |
| What is a predictor variable? | Used to make a forecast about an outcome |
| What is a criterion variable? | Outcome being predicted |
| Positive correlation | X and Y increase |
| Negative Correlation | X increase and y decreases |
| Linear Positive | Low scores of X correlate w/low scores of Y |
| Linear Negative | Low scores of X associated with high scores of Y (negative relationship) |
| Uncorrelated | X and Y are independent |
| Curvilinear | Increase, plateau and decline |
| Degree of Association | Reflects whether there is a consistent, predictable association between scores |
| .20-.35 | Slight relationship |
| .35-.65 | Useful for limited prediction |
| .65-.85 | Good predictions |
| .85-above | Predictions can be considered valid |