Date:         Fri, 30 Sep 2005 12:45:01 -0300
Reply-To:     Hector Maletta <hmaletta@fibertel.com.ar>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Hector Maletta <hmaletta@fibertel.com.ar>
Subject:      Re: proportions and ANOVA
Comments: To: "William B. Ware" <wbware@email.unc.edu>
In-Reply-To:  <Pine.A41.4.44+UNC.0509301059310.16762-100000@login9.isis.unc.edu>
Content-Type: text/plain; charset="us-ascii"

I think ANOVA is good enough in handling binary DVs. However, it is best
that the split is "natural" rather than artificial. By an artificial split I
mean things like "Income below $50,000" or "Height below 5'10" because a
slight displacement of the threshold may cause sometimes big differences in
the output (especially if many people are in the vicinity of the threshold).
Hector

> -----Original Message-----
> From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU]
> On Behalf Of William B. Ware
> Sent: Friday, September 30, 2005 12:02 PM
> To: SPSSX-L@LISTSERV.UGA.EDU
> Subject: Re: proportions and ANOVA
>
> Bozena,
>
> I believe that I recall an article by Lunney et al. that
> appeared in the Journal of Educational Measurement around
> 1969 or 1970.  It examined this question, and as I recall,
> the findings suggested that ANOVA was appropriate for
> dichotomous data, as long as the "splits" were not outside 80/20...
>
> wbw
>
> ______________________________________________________________
> ____________
> William B. Ware, Professor
> Educational Psychology,
> CB# 3500                                       Measurement,
> and Evaluation
> University of North Carolina                         PHONE
> (919)-962-7848
> Chapel Hill, NC      27599-3500                      FAX:
> (919)-962-1533
> Office:  118 Peabody Hall                            EMAIL:
> wbware@unc.edu
> Adjunct Professor                                    School
> of Social Work
> ______________________________________________________________
> ____________
>
>
> On Fri, 30 Sep 2005, Zdaniuk, Bozena wrote:
>
> > Hello, I would like to test a yes/no question in an ANOVA design (2
> > btw subject IVs and one within subject IV). Can ANOVA handle
> > proportions even those the assumptions are likely to not hold?
> > Thanks.
> > Bozena
> >
> > Bozena Zdaniuk, Ph.D.
> >
> > University of Pittsburgh
> >
> > UCSUR, 6th Fl.
> >
> > 121 University Place
> >
> > Pittsburgh, PA 15260
> >
> > Ph.: 412-624-5736
> >
> > Fax: 412-624-4810
> >
> > email: bozena@pitt.edu
> >
> >
> > -----Original Message-----
> > From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU]
> On Behalf
> > Of Spousta Jan
> > Sent: Friday, September 30, 2005 4:58 AM
> > To: SPSSX-L@LISTSERV.UGA.EDU
> > Subject: Re: String Transformation
> >
> > Hi,
> >
> > Just a remark: the second line of the code can be even
> simpler, I think:
> >
> > string tab (a1) .
> > compute tab=string(9,pib1).
> > etc.
> >
> > I am still missing \t and \n and similar abbreviations in SPSS...
> >
> > Greetings
> >
> > Jan
> >
> > -----Original Message-----
> > From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU]
> On Behalf
> > Of Simon Freidin
> > Sent: Friday, September 30, 2005 4:16 AM
> > To: SPSSX-L@LISTSERV.UGA.EDU
> > Subject: Re: String Transformation
> >
> > here's another way
> >
> > string tab (a1) .
> > compute tab=string(number('9',n2),pib1).
> > compute
> >
> x=concat("if",tab,"y=",tab,"""",ltrim(rtrim(y)),"""",tab,"code
> =",tab,"."
> > ).
> >
> >
> > At 02:39 AM 30/09/2005, Arthur Aguirre wrote:
> > >Hi,
> > >
> > >I have the following compute function:
> > >
> > >comp x=concat("if"," ","y=","""",ltrim(rtrim(y)),"""","","code=","
> > >",".").
> > >
> > >It would be useful to insert tab spaces verses singles
> spaces (" ").
> > >Anyone know if this is possible?
> > >
> > >Thanks.
> > >Arthur
> > >
> > >
> > >
> > >
> >
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> >
> >
> > Research Database Manager and Analyst
> > Melbourne Institute of Applied Economic and Social Research The
> > University of Melbourne Melbourne VIC 3010 Australia New Tel: (03)
> > 8344
> > 2085 New Fax: (03) 8344 2111
> http://www.melbourneinstitute.com/hilda/
> >
>
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