The rank-sum test is a non-parametric hypothesis test that can be used to determine if there is a statistically significant association between categorical survey responses provided for two different survey questions. The use of this test is appropriate even when survey sample size is small. The rank-sum test is most useful when the goal is to determine whether two groups of respondents differ in their average response to a particular survey question for which response categories are logically ordered according to magnitude (e.g., Likert-scale responses).
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Hollingsworth, R. G., Collins, T. P., Smith, V. E., & Nelson, S. C. (2011). Simple Statistics for Correlating Survey Responses. The Journal of Extension, 49(5), Article 31. https://tigerprints.clemson.edu/joe/vol49/iss5/31