Hi,
I have what I'm sure is a fairly ignorant question for those who know about stat but I would appreciate any help.
I am trying to differentiate 3 groups by means of olfactory function amongst other cognitive measures to distinguish Alzheimer's disease.
I have conducted a series of Kruskal-Wallis anovas and am wondering what is the optimal method for assessing differences in the means? Currently I have conducted Mann-Whitney comparisons and intend to correct with bonferroni. Is this ok? I keep seeing reference to a 'Dunn' test for non-parametric tests and am wondering if this is the same thing as a bonferroni/dunn or different. I have an example of a test (LSD) which looks at the least significant difference in the mean ranks between groups to assess significance-is this the same thing?
My knowledge of SPSS (version 11) is limited to say the least and I rely on a good interface as am unfamiliar with syntax etc..
Many thanks,
M
I have what I'm sure is a fairly ignorant question for those who know about stat but I would appreciate any help.
I am trying to differentiate 3 groups by means of olfactory function amongst other cognitive measures to distinguish Alzheimer's disease.
I have conducted a series of Kruskal-Wallis anovas and am wondering what is the optimal method for assessing differences in the means? Currently I have conducted Mann-Whitney comparisons and intend to correct with bonferroni. Is this ok? I keep seeing reference to a 'Dunn' test for non-parametric tests and am wondering if this is the same thing as a bonferroni/dunn or different. I have an example of a test (LSD) which looks at the least significant difference in the mean ranks between groups to assess significance-is this the same thing?
My knowledge of SPSS (version 11) is limited to say the least and I rely on a good interface as am unfamiliar with syntax etc..
Many thanks,
M