文章基本信息

标题：Simple Statistics for Correlating Survey Responses
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作者：Robert G. Hollingsworth ; Topaz P. Collins ; Virginia Easton Smith 等
期刊名称：Journal of Extension
印刷版ISSN：0022-0140
电子版ISSN：1077-5315
出版年度：2011
卷号：49
期号：5
出版社：Journal of Extension, Inc.
摘要：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).
关键词：rank-sum tests ; Likert scale responses