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Article #1226Variables -> Levels
From: John.B.Collins
Date: Thu, 01 Jul 1993 02:32
Date: Thu, 01 Jul 1993 02:32
17 lines
1683 bytes
1683 bytes
I'd suggest you use SPSS RELIABILITY. It will tell you which of your 20 tems
cohere with the general sense of the rest of the items (and will make suggestion
s
whether some of them should be eliminated to give a 'purer' scale. Then it
presents you the reliability of the overall set of items. Be sure to invoke
ALL the SUMMARY and STATISTICS options. They're useful. If you have 20 items
measured on a 1 to 6 scale (for example), it will report back to you about
a (putative scale) ranging from 20 to 120--which is the gist of what you asked.
Good Luck! You might summarize the other advice you get... John
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John B. Collins Voice Tel: (604) 922-4223
Adult Education Research Centre Fax: (604) 622-6665
University of British Columbia e-mail: USERJBC@MTSG.UBC.CA
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X-Google-Language: ENGLISH,ASCII-7-bit X-Google-Thread: f5efb,a2b956af6ac4d01d,start X-Google-Attributes: gidf5efb,public X-Google-ArrivalTime: 1993-06-30 20:21:56 PST Comments: Gated by NETNEWS@AUVM.AMERICAN.EDU Path: arc1-ca.pugleaf.net!gmd.de!xlink.net!howland.reston.ans.net!news.cac.psu.edu!psuvm!auvm!MTSG.UBC.CA!JOHN.B.COLLINS Return-Path: <@AUVM.AMERICAN.EDU,@VTBIT.BITNET:owner-stat-l@VM1.MCGILL.CA> X-Mts-Userid: JBC. Message-ID: <4795774@mtsg.ubc.ca> Newsgroups: bit.listserv.stat-l Date: Wed, 30 Jun 1993 19:32:08 PDT Sender: Stat-l Discussion List <STAT-L@MCGILL1.BITNET> From: John.B.Collins@MTSG.UBC.CA Subject: Variables -> Levels Lines: 17