Does Mann-Whitney use ordinal data?
Introduction. The Mann-Whitney U test is used to compare differences between two independent groups when the dependent variable is either ordinal or continuous, but not normally distributed.
Is chi-square test for ordinal data?
The Chi-square test is a non-parametric statistic, also called a distribution free test. Non-parametric tests should be used when any one of the following conditions pertains to the data: The level of measurement of all the variables is nominal or ordinal.
When to use chi square with ordinal data?
Chi-Square With Ordinal Data David C. Howell. Chi-square is an important statistic for the analysis of categorical data, but it can sometimes fall short of what we need. If you apply chi-square to a contingency table, and then rearrange one or more rows or columns and calculate chi-square again, you will arrive at exactly the same answer.
Which is better chi square or Mann Whitney?
Based on responses it seems there is no clear answer and that either approach (chi square or mann-whitney) could be used. I found no clear answer in searchers online, indeed people were making cases for both tests. Jochen – I like you frank approach. I think the work is explorative and therefore one can test the data in different ways.
When to use a mw or chi square test?
MW is for continuous data. Given the kind of data you have you will face a lot of “ties” rendering the results of this test questionable. Thus I would prefer to test the hypothesis that the frequency distributions (over the categories “time”) in the two groups are equal (-> Chi² test).
Which is more sensitive Pearson chi square or ordinal chi square?
Agresti (1996) has an excellent discussion of the approach taken here, and he makes the interesting point that for small to medium sample sizes, the standard Pearson chi-square is more sensitive to small sample size than is the ordinal chi-square that we calculated.