An alternative to Cramér's coefficient of association

Tarald O. Kvålseth

Communications in Statistics - Theory and Methods, 2018, vol. 47, issue 23, 5662-5674

Abstract: In spite of its popularity as a measure of association between two nominal categorical variables X and Y, Cramér's V^$\hat{V}$ does have a number of limitations. To overcome the limitations, an alternative coefficient of association W^$\hat{W}$ is introduced. This W^$\hat{W}$ is based on the Euclidean distance between the joint probability distribution of X and Y and the corresponding distribution when X and Y are independent. The properties of W^$\hat{W}$ are discussed including the value-validity property necessary for making valid interpretations and comparisons of association values. The statistical inference procedures for W^$\hat{W}$ are presented with a numerical example.

Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2017.1400056 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:47:y:2018:i:23:p:5662-5674

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2017.1400056

Access Statistics for this article

Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe

More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().