LISTSERV at the University of Georgia
Menubar Imagemap
Home Browse Manage Request Manuals Register
Previous messageNext messagePrevious in topicNext in topicPrevious by same authorNext by same authorPrevious page (May 2000)Back to main SPSSX-L pageJoin or leave SPSSX-L (or change settings)ReplyPost a new messageSearchProportional fontNon-proportional font
Date:         Tue, 2 May 2000 21:36:13 -0400
Reply-To:     Lary Jones <ljones@BINGHAMTON.EDU>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Lary Jones <ljones@BINGHAMTON.EDU>
Subject:      Re: Fisher's G
In-Reply-To:  <4E1F1ECF4049D3118C9900A024CDCB6456B71A@hermes.spss.com>
Content-Type: text/plain; charset="us-ascii" ; format="flowed"

> > -----Original Message----- > > From: Bob Glazer MARA 305/289-2330 [mailto:Bob.Glazer@DEP.STATE.FL.US] > > Sent: Monday, April 10, 2000 1:50 PM > > To: SPSSX-L@LISTSERV.UGA.EDU > > Subject: [SPSSX-L] Fisher's G > > > > > > I have a data set where I have frequency data for habitat > > utilization by a > > marine snail. I also have habitat availability (i.e., > > expected frequencies). > > I am looking for the specific habitat(s) that are avoided or > > preferred. > > > > 1) Apparently, Fisher's G will satisfy this question but I > > have been unable to > > find an equivalent in SPSS. Are there any scripts that I can > > employ for > > Fisher's G?

I am not familiar with Fisher's G. Nevertheless, I was able to dig up the following, using the Google search engine:

http://www.fordham.edu/aps/decarlo.html

Lawrence Decarlo's Normality Test macro for SPSS:

The comments at the beginning of the code provided on this web page are:

***************************************************************** * Univariate and multivariate tests of skew and kurtosis, a list * of the 5 cases with the largest Mahalanobis distances, a plot * of the squared distances, critical values for a single * multivariate outlier. * * DeCarlo, L. T. (1997). On the meaning and use of kurtosis. * Psychological Methods, 2, 292-307. * * Updated 11/97: * This version uses a corrected two-pass algorithm to compute * the variance, from Chan, T. F., Golub, G. H., & LeVeque, R. J. * (1983). Algorithms for computing the sample variance: Analysis * and recommendations. American Statistician, 37, 242-247. * Fisher's g statistics are given. * Mardia's p-value fixed (multiplied by 2), and the statistic is * computed using the biased variance estimator, as in SAS and EQS *****************************************************************

Hope this helps.

-lary jones

_______________________________________________________ Lary Jones % Statistical Computing Analyst Computing Services % .......................... Binghamton University % LJones@Binghamton.EDU Binghamton, NY 13902-6000 % (607) 777-2614


Back to: Top of message | Previous page | Main SPSSX-L page