1. Ensure you handle missing data as you decided above.
2. State if you are using one or two-tailed test, and then explain why.
3. Include diagnostics.
4. Discuss assumptions; are they met?
5. Write the results in APA style and interpret them.
6. Describe how these results differ from the correlation results above?
7. Part B Briefly restate your research area of interest.
8. Pearson Correlation: Identify two variables for which you could calculate a Pearson correlation coefficient. Describe the variables and their scale of measurement. Now, assume you conducted a Pearson correlation and came up with a significant positive or negative value. Create a mock r value (for example, 0.3 or -0.2). Report your mock finding in APA style (note the text does not use APA style) and interpret the statistic in terms of effect size and R2 while also taking into account the third variable problem and well as direction of causality.
9. Spearmans Correlation: Identify two variables for which you could calculate a Spearmans correlation coefficient. Describe the variables and their scale of measurement. Now, assume you conducted a correlation and came up with a significant positive or negative value. Create a mock r value. Report your mock finding in APA style and interpret the statistic in terms of effect size and R2 while also taking into account the third variable problem and well as direction of causality.
10. Partial Correlation vs. Semi-Partial Correlation: Identify three variables for which you may be interested calculating either a partial or semi-partial correlation coefficient. Compare/contrast these two types of analyses using your variables and research example. Which would you use and why?
11. Simple Regression: Identify two variables for which you could calculate a simple regression. Describe the variables and their scale of measurement. Which variable would you include as the predictor variable and which as the outcome variable? Why? What would R2 tell you about the relationship between the two variables?
12. Multiple Regression: Identify at least three variables for which you could calculate a multiple regression. Describe the variables and their scale of measurement. Which variables would you include as the predictor variables and which as the outcome variable? Why? Which regression method would you use and why? What would R2 and adjusted R2 tell you about the relationship between the variables?
13. MultipleRegression: Identify at least three variables for which you could calculate a multipleregression. Describe the variables and their scale of measurement. Which variables would you include as the predictor variables and which as the outcome variable? Why? Which regression method would you use and why? What would the output tell you about the relationship between the variables?
14. You should now have the following file: lastnamefirstinitialEDU8006-8-3.doc (example: smithbEDU8006-8-3.doc)

Length: 10-12 pages