Instructions: This assignment will help you understand data screening and violations of assumptions in
Instructions:
This assignment will help you understand data screening and violations of assumptions in univariate one-way repeated measures ANOVA. You will use the PASW GLM procedure to accurately compute a repeated measures ANOVA.
To complete the assessment, answer each question, providing PASW analysis when Below is a set of results from the study of disease treatment techniques. Use these results to complete this assessment.
| Set of results from the study of disease treatment technique | |||||
| Subject # | Week 1 | Week 2 | Week 3 | Week 4 | Week 5 |
| 1 | 22 | 23 | 9 | 7 | 7 |
| 2 | 21 | 20 | 11 | 5 | 10 |
| 3 | 8 | 6 | 6 | 5 | 6 |
| 4 | 26 | 31 | 14 | 13 | 5 |
| 5 | 31 | 34 | 11 | 9 | 7 |
| 6 | 20 | 28 | 9 | 8 | 5 |
| 7 | 27 | 17 | 6 | 3 | 6 |
| 8 | 14 | 5 | 9 | 2 | 6 |
| 9 | 27 | 25 | 15 | 9 | 18 |
- Create a SPSS data file to appropriately input the above data.
- Run a repeated measures ANOVA and explain your results.
- Using the data from week 2 and week 3, run a paired t test to examine the hypothesis that disease decreased from before to after treatment.
- Run a repeated measures ANOVA on the same data (week 2 and week 3) and draw the appropriate conclusions.
- Compare the results from your analysis in steps 2 and 3.
- Calculate an effect size to elaborate on the results in step 2.
Price: $12.82
Solution: The downloadable solution consists of 8 pages, 482 words and 1 charts.
Deliverable: Word Document
Deliverable: Word Document
