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From |
Richard Williams <Richard.A.Williams.5@nd.edu> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Computing semipartial correlations |

Date |
Thu, 11 Dec 2003 14:53:21 -0500 |

At 11:54 AM 12/11/2003 -0500, Richard Williams wrote:

The pcorr routine uses the following formula to compute partial correlations:I figured out the answer to my own question, in case anybody else is interested. The formula for a semipartial is, of course,

t/sqrt(t^2 + N - K -1) where N = Sample size and K = # of X variables

This is not the most intuitive formula in the world, but it works! I would like to modify the program to compute semipartial correlations. Does anybody know of a similarly straightforward formula that would do this? pcorr runs a regress command and then uses the saved estimates to do its calculations. Thanks for any input.

t * sqrt((1-R^2)/(N-K-1))

(I actually did a proof of this 7 years ago that I had completely forgotten about).

To implement this in the pcorr command, you drop this line

*/ %9.4f `s'*sqrt(r(F)/(r(F)+`NmK')) /*

and replace it with

*/ %9.4f `s'*sqrt(r(F)* ((1-e(r2))/`NmK')) /

Also, change the program define line to pcorr2 (or perhaps semicorr) and have the program print out Semipartial instead of Partial. I imagine somebody who is a little more skilled than I currently am could rewrite the routine to print out both the partials and the semipartials.

Given that it is fairly easy to modify pcorr to give both partial and semipartial correlations, can I request that Stata do so? Or, if I eventually just do it myself, how would I make a semicorr or a pcorr2 routine available to the world? Thanks.

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

Richard Williams, Associate Professor

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**Follow-Ups**:**Re: st: Computing semipartial correlations***From:*"Scott Merryman" <smerryman@kc.rr.com>

**RE: st: Computing semipartial correlations***From:*"Nick Cox" <n.j.cox@durham.ac.uk>

**References**:**st: Computing semipartial correlations***From:*Richard Williams <Richard.A.Williams.5@nd.edu>

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