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>
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> > -----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
|