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How are multiple comparisons with repeated measures different?
However, the arithmetic is no different is we compare (Mean1 + Mean2 + Mean3)/3 with (Mean4 + Mean5)/2. In other words, we can compare means of means. If you had two control groups and three treatment groups, that particular contrast might make a lot of sense.
How many tests per group in repeated measures?
We can quickly compute the number of meaningful tests: you have 12 measures; each was measured 3 times in 3 groups. So if we count all pairwise tests, it will be 3 tests per group and 3 tests per measurement time, i.e. 18 tests per measure, i.e. 216 tests.
How to compare two groups with multiple measurements?
In each group there are 3 people and some variable were measured with 3-4 repeats. As you can see there are two groups made of few individuals for which few repeated measurements were made. I would like to compare two groups using means calculated for individuals, not measure simple mean for the whole group.
When to use a two way repeated measures MANOVA?
For all measures, comparison between all groups and all times is a two-way repeated measures MANOVA. It will test if there is a significant effect of group, significant effect of time, or significant interaction between them on all measures taken together.
What is the definition of the multiple comparisons problem?
Definition. The multiple comparisons problem also applies to confidence intervals. A single confidence interval with a 95% coverage probability level will contain the population parameter in 95% of experiments. However, if one considers 100 confidence intervals simultaneously, each with 95% coverage probability,…
Which is the best procedure for multiple comparisons?
Virtually all the multiple comparison procedures can be computed using the lowly ttest; either a ttest for independent means, or a ttest for related means, whichever is appropriate. Certainly textbooks give different procedures for different tests, but the basic underlying structure is the ttest.
When do you use multiple comparisons in a statistical analysis?
Multiple comparisons arise when a statistical analysis involves multiple simultaneous statistical tests, each of which has a potential to produce a “discovery.”.