Hello,
I need help comparing the means of a small dataset. The dataset looks like this (mock data):
| Name |
Baseline |
1_month |
2_months |
| P001 |
81.22 |
100 |
N/A |
| P002 |
56.23 |
75 |
68.68 |
| P003 |
40 |
40 |
N/A |
| P004 |
100 |
N/A |
100 |
| P005 |
40 |
N/A |
N/A |
| P006 |
73.33 |
40 |
N/A |
| P007 |
0 |
39.36 |
18.69 |
| P008 |
94.44 |
90.55 |
85.55 |
| P009 |
15.56 |
N/A |
N/A |
| P010 |
83.26 |
N/A |
N/A |
The data is
not normally distributed, and I tried transforming it with Log10, but still, it wasnt normal. There is a fair bit of missing data points, and the actual dataset is small, about 40 individuals. I need to compare the means of these values, between the different time frames, just so that I can say if there are no significant differences between the mean responses at baseline vs 1 and vs 2 months...
Can I just do an ANOVA with Repeated Measures, despite the data not being normally distributed? Somewhere I read the test is robust to failing this assumption. Or is there another more appropiate test or procedure?
Thank you for any feedback,
Freddy
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KARL GRUBER
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#SPSSStatistics