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Date:         Tue, 21 Mar 2000 09:14:21 -0500
Reply-To:     Kim Marie Denomme <denomk@FHS.CSU.MCMASTER.CA>
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         Kim Marie Denomme <denomk@FHS.CSU.MCMASTER.CA>
Organization: McMaster University
Subject:      Re: SAS versus SPSS
Content-Type: multipart/alternative;

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Thanks so much for the advice!

Paul Choate wrote:

> SAS is a programming language, SPSS is application software. With SAS > you may be able to use the front ends, but you really need to > understand computing to effectively use it. SAS is great, and it's > modules where written by expert applied statisticians, but I find SPSS > to be more widely used by academic types, where SAS is used by > industrial types. SAS is really great when it comes to big data, > messy data, or cross-platform data. > > Get Using Multivariate Statistics by Barbara G. Tabachnick, Linda S. > Fidell, it is excellent and has an excellent comparison of SAS SPSS > and others from a statistical standpoint. > > Paul > pchoate@jps.net > > > Bill Paterson wrote: > >> You might want to consider R (also know as GNU S). >> There are no proprietary license fees to use R. R is freely >> available free >> software licensed under the GNU General Public License. >> Information about R is maintained at : >> >> http://www.stat.cmu.edu/R/CRAN/ >> >> Kim Marie Denomme wrote: >> >> > Dear Newsgroup: >> > >> > Hello! This is the first time that I've posted to this >> newsgroup. I >> > was wondering if someone would be able to explain the advantages >> and/or >> > disadvantages of using SAS instead of SPSS. I've been using SPSS >> for >> > some months now and would like to consider trying different >> statistics >> > software, software that's more powerful. Is SAS a hard program to >> >> > learn? Is it possible that I could teach myself how to use it? >> > >> > Thanks in advance for your help! >> > -- >> > *********************************************************** >> > >> > Kim Marie Denomme >> > Research Assistant, Clinical Epidemiology and Biostatistics >> > McMaster University >> > >> > Telephone: (905) 525-9140 ext. 22334 >> > Fax: (905) 528-3154 >> > >> > Health Sciences Centre, 3V43E >> > 1200 Main Street West, >> > Hamilton, Ontario, L8N 3Z5 >

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<!doctype html public "-//w3c//dtd html 4.0 transitional//en"> <html> Thanks so much for the advice! <br>&nbsp; <p>Paul Choate wrote: <blockquote TYPE=CITE>SAS is a programming language, SPSS is application software.&nbsp; With SAS you may be able to use the front ends, but you really need to understand computing to effectively use it. SAS is great, and it's modules where written by expert applied statisticians, but I find SPSS to be more widely used by academic types, where SAS is used by industrial types.&nbsp; SAS is really great when it comes to big data, messy data, or cross-platform data. <p>Get <i>Using Multivariate Statistics </i>by Barbara G. Tabachnick, Linda S. Fidell, it is excellent and has an excellent comparison of SAS SPSS and others from a statistical standpoint. <p>Paul <br>pchoate@jps.net <br>&nbsp; <p>Bill Paterson wrote: <blockquote TYPE=CITE>You might want to consider R (also know as GNU S). <br>There are no proprietary license fees to use R. R is freely available free <br>software licensed under the GNU General Public License. <br>Information about R is maintained at : <p>&nbsp;&nbsp; <a href="http://www.stat.cmu.edu/R/CRAN/">http://www.stat.cmu.edu/R/CRAN/</a> <p>Kim Marie Denomme wrote: <p>> Dear Newsgroup: <br>> <br>> Hello!&nbsp; This is the first time that I've posted to this newsgroup.&nbsp; I <br>> was wondering if someone would be able to explain the advantages and/or <br>> disadvantages of using SAS instead of SPSS.&nbsp; I've been using SPSS for <br>> some months now and would like to consider trying different statistics <br>> software, software that's more powerful.&nbsp; Is SAS a hard program to <br>> learn?&nbsp; Is it possible that I could teach myself how to use it? <br>> <br>> Thanks in advance for your help! <br>> -- <br>> *********************************************************** <br>> <br>> Kim Marie Denomme <br>> Research Assistant, Clinical Epidemiology and Biostatistics <br>> McMaster University <br>> <br>> Telephone: (905) 525-9140 ext. 22334 <br>> Fax: (905) 528-3154 <br>> <br>> Health Sciences Centre, 3V43E <br>> 1200 Main Street West, <br>> Hamilton, Ontario, L8N 3Z5</blockquote> </blockquote> </html>

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