Contents
- 1 Which is the best adjustment method for multiple comparisons?
- 2 When do you need to make multiple comparisons?
- 3 Why do we ( usually ) not have to worry about multiple comparisons?
- 4 When do you use multiple groups and comparisons?
- 5 Which is ad hoc method adjusts for multiple comparisons?
- 6 Is the standard error of ANOVA the same?
Which is the best adjustment method for multiple comparisons?
Bonferroni adjustment is one of the most commonly used approaches for multiple comparisons (5). This method tries to control FWER in a very stringent criterion and compute the adjusted P values by directly multiplying the number of simultaneously tested hypotheses (m): p′i= min{pi × m, 1} (1 ≤ i ≤ m)
When do you need to make multiple comparisons?
If we had experimental 3 groups, then there are 3 possible comparisons between them, for example (A-B, A-C, B-C). This can be compounded if we have multiple outcome measurements (for example, measuring depression and anxiety in a clincal trial; see @feise2002multiple ).
Do you need to correct for multiple comparisons in MANOVA?
Then you would get 10 different p-values, and certainly would need to correct for multiple comparisons, e.g. by applying Bonferroni correction. But if you use MANOVA, then you get only one single p-value and so there is no need for any corrections.
Why do we ( usually ) not have to worry about multiple comparisons?
Why We (Usually) Don’t Have to Worry About Multiple Comparisons Journal of Research on Educational Effectiveness,5:189–211,2012 Copyright © Taylor & Francis Group, LLC ISSN: 1934-5747 print / 1934-5739 online DOI: 10.1080/19345747
When do you use multiple groups and comparisons?
Multiple groups or comparisons When the outcome measure is basedon ‘counting people’, this is categoricaldata. The groups can be compared with asimple chi-squared (or Fisher’s exact)test. Comparing multiple groupsANOVA – Analysis of variance
What is the proper way to apply the multiple comparison test?
Tukey method This test uses pairwise post-hoc testing to determine whether there is a difference between the mean of all possible pairs using a studentized range distribution. This method tests every possible pair of all groups.
Which is ad hoc method adjusts for multiple comparisons?
The Dubey/Armitage-Parmar (D/AP) is an ad-hoc method based on the Šidák method, which takes into account the correlation between the outcomes [ 11 ].
Is the standard error of ANOVA the same?
In a One-way Anova, the standard error of the difference between the two means of groups i and j is ⎟ ⎟ ⎠ ⎞ ⎜ ⎜ ⎝ ⎛ − = + Ni Nj s MSE i j 1 1 µˆ µˆ * (Recall that MSE is another name for MS Within.) In this particular example, the group sizes are all the same, which is why the reported standard errors are all the same, but this will not be true
How is the result of ANOVA used in real life?
The result of ANOVA does not provide detailed information regarding the differences among various combinations of groups. Therefore, researchers usually perform additional analysis to clarify the differences between particular pairs of experimental groups.