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From |
Steven Samuels <[email protected]> |

To |
[email protected] |

Subject |
Re: st: Cramers V with weighted data |

Date |
Thu, 14 Aug 2008 12:55:50 -0400 |

I have to apologize to everyone. The statistic computed by the formula that I gave is Cramer's Phi statistic, which is Cramer's V for 2x2 tables. Thanks to Nick Cox for pointing out my error and pointing me to the proper definition.

The proper formula for Cramer's V is:

di "Cramer's V = " sqrt(e(cun_Pear)/(e(N)*min((e(r)-1),(e(c)-1))))

-Steve

On Aug 14, 2008, at 10:47 AM, Waldo, Daniel R. (CMS/ORDI) wrote:

In the case of complex survey design, should the denominator of the

calculation take the design effect into consideration? That is, should I

use N/DEff as opposed to N?

------------------------------

Date: Tue, 12 Aug 2008 08:34:30 -0400

From: Steven Samuels <[email protected]>

Subject: Re: st: Cramers V with weighted data

I did.

Thanks, Paul.

- -Steve

On Aug 12, 2008, at 5:21 AM, Paul Seed wrote:

I think Steven meant: gen crV= sqrt(e(cun_Pear)/e(N)) or: di "Cramer's V = " sqrt(e(cun_Pear)/e(N)) Paul Seed, Lecturer in Medical Statistics KCL School of Medicine, Division of Reproduction and Endocrinology tel (+44) (0) 20 7188 3642On Aug 8, 2008, at 12:21 PM, Steven Samuels wrote: . -svyset- the data with pweights equal to your weight. Run -svy: tabulate- and divide the uncorrected Pearson Chi Square statistic by the sample size. You can program this by dividing the returned scalar e(cun_Pear) by the scalar e(N) gen crV= e(cun_Pear)/e(N) -Steve* * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

* * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**Re: st: Cramers V with weighted data***From:*"Waldo, Daniel R. (CMS/ORDI)" <[email protected]>

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