*Reading: Aron, Chapter 11*
1. Create a scatter diagram (scatter plot) for pairs of scores from subjects.
2. Recognize the types of correlation that are possible and compute a correlation coefficient.
3. Review appropriateness of inferences from correlational studies and identify alternate hypotheses that are associated with correlational findings.
4. Determine whether a correlation coefficient is statistically significant.
5. Review and apply issues relevant to interpreting a correlation coefficient.
6. Given the expected size of a correlation coefficient, use tables to determine the power of a study, and the N needed for a power of 80%.
7. Interpret correlation matrices that are typically used in research studies. |