What hypotheses do "nonparametric" two-group tests actually test?
In this article, I discuss measures of effect size for two-group comparisons where data are not appropriately analyzed by least-squares methods. The Mann–Whitney test calculates a statistic that is a very useful measure of effect size, particularly suited to situations in which differences are measured on scales that either are ordinal or use arbitrary scale units. Both the difference in medians and the median difference between groups are also useful measures of effect size. Copyright 2012 by StataCorp LP.
Volume (Year): 12 (2012)
Issue (Month): 2 (June)
|Note:||to access software from within Stata, net describe http://www.stata-journal.com/software/sj12-2/st0253/|
|Contact details of provider:|| Web page: http://www.stata-journal.com/|
|Order Information:||Web: http://www.stata-journal.com/subscription.html|
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Roger Newson, 1998. "SOMERSD: Stata module to calculate Kendall's tau-a, Somers' D and median differences," Statistical Software Components S336401, Boston College Department of Economics, revised 06 May 2014.
When requesting a correction, please mention this item's handle: RePEc:tsj:stataj:v:12:y:2012:i:2:p:182-190. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum)or (Lisa Gilmore)
If references are entirely missing, you can add them using this form.