This is a three part assignment in which you will demonstrate your ability to:

• Compute and interpret a post-hoc power analysis.
• Compute and interpret an a priori power analysis.
• Predict and confirm your prediction with a statistical analysis.

1. A prediction prior to analysis:
   • Prior to doing the power analysis, click on the Table for Data Analysis and Application . You will use this table to create a PASW data file and name it u02a1.sav . Then use PASW to survey the means and standard deviations of ADDSC scores in each gender group.
   • Assume the standard deviation for both groups is 12. Would you expect a large, medium, or small effect when examining the differences between genders on ADDSC? Why?
2. Post hoc analysis:
   • Compute the effect size with gender as the grouping variable and ADDSC as the dependent variable.
   • Compute power using a .05 alpha and a two-tailed test. When you are using G*Power, make sure you have selected the independent t-test and the two-tailed option.
   • Interpret the meaning of the three values you just calculated.
3. A priori analysis:
   • Assume the effect size that you calculated above in part 1. How many total subjects (N) would be needed to obtain a power of .90?
   • Would you have expected a required N of this size? Why or why not? Interpret the meaning of a .90 power value. Note that G*Power will provide the combined N (the N for both groups).
4. A prediction and analysis:
   • Suppose you now wanted to determine whether there was a significant difference between the means for the women versus the men. Reviewing the descriptive information and the calculated power value in Part II, would you expect there to be a significant difference between the means? Why or why not?
   • Using the Independent Sample t test on the PASW, examine the between group means for a significant difference. Report the PASW results and your conclusion.

Price: $13.28

Solution: The downloadable solution consists of 8 pages, 528 words and 4 charts.
Deliverable: Word Document