I have conducted an experiment with two conditions (happy and sad) i wanted to see the effects of these conditions on words chosen from three different categories (positive, negative and neutral words)

  • in both conditions I have data on the three different word categories

  • its a between subjects design - their were different participants in each condition

The IV is the mood condition either happy or sad.

The DV is relative frequency of words in pos, neg and neutral categories

I want to find a statistical test which will show me if there is a difference between the relative frequencies in each word category in the two different conditions

  • $\begingroup$ See en.wikipedia.org/wiki/Poisson_regression. $\endgroup$ Aug 10, 2021 at 6:37
  • $\begingroup$ Is there any meaningful difference in the overall length of text either subject produces? I might imagine that these mood conditions affect the overall willingness to share anything at all. $\endgroup$
    – AdamO
    Aug 10, 2021 at 16:08

1 Answer 1


You could start by ignoring the neutrals to make the DV 1-dimensional: You would test the ratio between just positive and negative words. In dimension 1, there's easy non-parametric tests (e.g. permutation test for difference in mean https://thomasleeper.com/Rcourse/Tutorials/permutationtests.html).

If such a test fails, then the pos/neg ratio is not the same, and thus the relative frequencies are not the same.


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