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From |
Garry Anderson <g.anderson@unimelb.edu.au> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: RE: Reference for test of incremental R-square |

Date |
Thu, 13 Nov 2008 09:44:36 +1100 |

Hi Serana, -findit pcorr2- returns pcorr2 from http://fmwww.bc.edu/RePEc/bocode/p 'PCORR2': module to display partial and semipartial correlation coefficients / pcorr2 displays partial and semipartial correlation coefficients. / It is a modified and enhanced version of the pcorr command, / which only displays partial correlations. Cheers, Garry ________________________________ From: owner-statalist@hsphsun2.harvard.edu on behalf of SM Sent: Thu 13/11/08 09:17 To: statalist@hsphsun2.harvard.edu Subject: st: Reference for test of incremental R-square Hi , I have to compare the following (nested/ hierarchical?) models in order to test whether the variables included in second model significantly increase the goodness of fit. 1) Y = ?0 + ?1 BV + ?2NI + ? 2) Y = ß0 + ß1 BV + ß2 NI + ß3 TANG + ? My questions are the following: I. It's not clear to me the difference between nested and hierarchical regressions. Is defined hierarchical a regression in which I simply add new variables ? If it so, my models (1-2) should be hierarchical. Conversely, is nested model a regression in which I decompose the components of a variable? For example, if I add a third model, in which TANG is decomposed in TANG1 TANG2 TANG3. 3) Y = g0 + g1 BV + g2 NI + g3 TANG1+ g4 TANG2+ g5TANG3+ ? II. In order to test whether the goodness of fit of 2 model significantly increases, I employ the following test, found in econometric textbook (considering model 2 = full model): ? R2/ ?df = F (? R2 , df full) (1- R2full)/df full Is it correct ?? Can you give me some specific reference on this test ? III. In Cox's book "A gentle introduction to Stata" page 216, test of semipartial correlation of variables is performed by pcorr2. Even if the author suggests to install it with findit pcorr2, I am not able to find the program anywhere. Can anybody suggest how can I install it ??? Thanks so much. Kind Regards, Serena * * 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/

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**References**:**st: Reference for test of incremental R-square***From:*SM <sermorr@gmail.com>

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