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- Comments: Gated by NETNEWS@AUVM.AMERICAN.EDU
- Path: sparky!uunet!paladin.american.edu!auvm!VTVM1.BITNET!WLTPIRIE
- Message-ID: <STAT-L%92112311112401@VM1.MCGILL.CA>
- Newsgroups: bit.listserv.stat-l
- Date: Mon, 23 Nov 1992 11:07:42 EST
- Sender: STATISTICAL CONSULTING <STAT-L@MCGILL1.BITNET>
- From: Walt Pirie <WLTPIRIE@VTVM1.BITNET>
- Subject: Wanted: Rank test
- Lines: 58
-
- For the problem below, two ideas come to mind. One is Kendall's Test of
- Concordance. Some Nonparametric books include it, or look in Kendall's
- Rank Correlation Book. The other is the General Linear Models by Ranks
- procedure by Hettmansperger and McKean, but I don't know if there is
- a general software package for that. It's much too complex to do by hand.
-
-
-
-
-
- I can't believe it! I'm too old for this. I had a student gather a
- bit of data thinking that when the time came I would just pick up
- Siegel or some other hoary text and look up the proper significance
- test. Now I can't find any test that addresses the problem.
-
- A group of 5 men ranks four things; and a group of five women do also:
- Thing1 Thing2 Thing3 Thing4
- Man 1 : 4 2 1 3
- Man 2 : 4 3 2 1
- .
- .
- .
- Woman 1 : 3 2 4 1
- Woman 2 : 3 4 1 2
- .
- .
- etc.
-
- Now, I'm not obsessive about being fooled by chance, but I would
- like to know whether the disparity in the rankings between the men and women
- is of suffucient size that it is unlikely to have arisen solely from the
- chance selection of these two samples from populations in which men and
- women rank the four things similarly (or identically or something).
-
- Can anyone help?
-
- _______________________________________________________________________
-
- GENE V GLASS ATGVG AT ASUACAD.BITNET
- COLLEGE OF EDUCATION ATGVG AT ASUACVAX.BITNET
- ARIZONA STATE UNIVERSITY INTERNET ADDRESS:
- Tempe, AZ 85287-2411 ATGVG@ASUVM.INRE.ASU.EDU
- 602-965-2692 (303-499-2816 from June '92 until Dec. '92)
- (While on sabbatical until Dec. '92, I can be reached at
- GLASS@SPOT.COLORADO.EDU )
-
- |==================================|============================|
- | Walter R. Pirie | |
- | Department of Statistics | |
- | Virginia Tech | |
- | Blacksburg, VA 24061-0439 | |
- | | |
- | Tel. 703-231-5441 | |
- | Bitnet WLTPIRIE@VTFVM1 | |
- | Telnet WLTPIRIE@VTVM1.CC.VT.EDU | |
- | | |
- | Fax 703-231-3863 | |
- |==================================|============================|
-