Hello,
I would like to get some advice to analyse some data. Here are the key features.
1. The data is not Normally distributed.
2. It is not independent, that is, I am comparing the same group of people over three time periods.
3. The data is numerical, from 0 to 100.
4. The data consists of three groups, same individuals, samples at three different time frames.
5. there is quite a bit of missing data, specially in the 1 and 2 month periods.
I need to compare the means of those three groups.
Here is a mock example of the data. Actual data is just a bit bigger, with 40 individuals, not 10.
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 |
Any advice would be welcome!
My first conclusion was to do a ANOVA with Repeated Measures, until I realised the data is not Normally distributed... I tried transfroming it but that didnt make it Normal either. Although I only tried to do it with Log10.
Thank you for any help!
Freddy
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KARL GRUBER
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#SPSSStatistics