I need to determine what, if any, relationship exists between the two sets of scores.

Would Mann-Whitney be the appropriate test?

- Thread starter GrungyGoose
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- Tags mann-whitney

I need to determine what, if any, relationship exists between the two sets of scores.

Would Mann-Whitney be the appropriate test?

For further details, you could search for Spearman correlation in this same forum. I remember to have replied to several questions about it; so earlier posts can be useful as well.

Hope this helps

regards

gm

Obviously, you cannot calculate correlation of any kind with different sample size.

I am unsure about what test you can perform in this situation. I was thinking about Mann-Whitney, that will test if a significative difference exist between the mean ranks of your samples. But, this will not provide any kind

of correlation, just an hypothesis test about the difference between the scores. I doubt that this is what you need...

May be somone else in the forum will provide further help

regards

gm

so you have scores for multiple plant species and multiple insect species?

Also, "relationship" in my first post was probably a poor choice of words. I do not necessarily need to find a correlation. What I am basically looking for is to determine if the central tendency of the plant scores are different from the central tendency of the insect scores. Conventional wisdom (and a lot of anecdotal data in the literature) is that if the plants have a higher fidelity rank the insects will by default.

If the data were different I would just use students-t to see if there was a significant difference between the means. Since I can't do that I'm trying to see what else could work.

My first thought was Mann-Whitney.

Basically, my hypothesis is that there should be no significant difference between the scores of the plants and insects (i.e. if insects of a certain fidelty score prefer habitats of plants with a certain fidelity score then the differences between those two scores for the two assemblages should be negligble).

Sorry for all the editing of this post - its late here and I had trouble organizing my thoughts.

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