HDTenEightyP/NetNews huggingface dataset:
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Date:         Thu, 30 Jul 1992 11:51:29 -0600
From:         BALDWIN@UWPG02.BITNET
Subject:      Reliability for Categorical Measures

Hi

        I have measures of attachment style (3 levels) at two periods of time,
and want to assess the reliability of the style measure.  I understand that the
"best" coefficient depends on a number of factors (e.g., frequency of various
categories).  Any suggestions about methods or further reading would be much
appreciated.

Mark Baldwin
baldwin@uwpg02.uwinnipeg.ca
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Subject: (no subject given)
Newsgroups: bit.listserv.stat-l
Date:         Sat, 25 Jul 1992 18:49:18 EDT
From:         Aki Caramanos <aki@EGO.PSYCH.MCGILL.CA>

Please add me to your list


ciao for now...
aki

		**********************************
		*                                *
		*   Zografos "Aki" Caramanos     *
		*     -  APSSCnet List Owner     *
		*                                *
		*   Department of Psychology     *
		*   McGill University            *
		*   Montreal, Canada             *
		*   aps-aki@ego.psych.mcgill.ca  *
		*   (514) 956-5894               *
		*                                *
		**********************************
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Organization: K.U.Leuven (Belgium)
Newsgroups: bit.listserv.stat-l
Date:         Wed, 22 Jul 1992 16:53:05 UTC+0200
From:         Vuylsteke Magda <LAAAA02@BLEKUL21.BITNET>
Subject:      Stat.Review

Please, where can I find the subscription adress for the review :
Statistics and Computing.
Thanks.
Drs. Magda Vuylsteke              Telephone (32)-16-286611 ext2215
Computing Center                  Fax       (32)-16-207168
Center of Statistics
University of Leuven
de Croylaan, 52a
3001 Heverlee                     E-mail:laaaa02@blekul21
Belgium
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Date:         Thu, 23 Jul 1992 09:33:26 EST
From:         "D. Glen McPherson" <mcphers@HILBERT.MATHS.UTAS.EDU.AU>
Subject:      "s-mode" and "t-mode" in principal component analysis
X-To:         "stat-l list" <stat-l@vm1.mcgill.ca>

I have been shown a recent publication which speaks of principal component
analysis with rotation using "s-mode" and "t-mode". Can anyone point me to a
reference which explains the meaning of "s-mode" and "t-mode" in this context?

Thanks,  Glen.
--
 ---------------------------------------------------------------------------
|  Glen McPherson            |                                   |  _--_|\  |
|  Department of Mathematics |-----------------------------------| /      \ |
|  University of Tasmania    |               E-Mail:             | \_.--._/ |
|  Australia.                | mcphers@hilbert.maths.utas.edu.au |       *  |
 ---------------------------------------------------------------------------
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Date:         Tue, 28 Jul 1992 15:46:00 -0500
From:         "Sheryl Bass,
              ARPC Oswego. Tel. (315) 349-0198"
              <BASS%TECHDB%MISX02@KINGSTON.ARPC.ALCAN.CA>
Subject:      sampling plans

Thanx in advance to any direct responses or references to the following
problem I have:

Assume this hypothetical situation - A paper mill produces a roll of paper
5 miles long and 50" wide and measures the thickness of the paper at the
plant.  The measurements are taken throughout the roll to represent the entire
roll.

Some people want to do an experiment at the customers plant to see if the
customers thickness measurements relate to the producer's thickness
 measurementsAssuming that in the customer's plant, the method of measurement is
 to take
equal size pieces of paper throughout the roll and measure the thickness of
each, how many pieces of paper need to be sampled in order to "represent"
the whole roll AND to try and see if there is any correlation between the
different measuring systems?  (the producer's method of measurement is an
on-line continuous reading by a high speed gauge).

What information is needed for this experiment?
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Organization: Institut Armand Frappier
Newsgroups: bit.listserv.stat-l
Date:         Thu, 30 Jul 1992 08:52:05 EDT
Comments:     Adresse alternative de l'envoyeur: <IMR2027@UQUEBEC>
From:         Eduardo Franco <IMR2027@IAF.UQUEBEC.CA>
Subject:      epi related stat packages
X-To:         stat-l@vm1.mcgill.ca

Quoting from "TONY BAGLIONI, SOCIAL SCIENCES GROUP"
<MAIL_BAGLIO%CC.UQ.OZ.AU@VM1.MCGILL.CA>:

TB>    I have been given this address as a possible source of info concerning
TB> statistical packages commonly in use in epidemiologic and medical related

Some specific titles that come to mind are:

EGRET
Very powerful set of analytical and graph-building tools. Includes
state-of-the-art statistical algorithms for regression and survival
analysis. Includes StatXact (for exact estimation) as an optional add-on.
EPILOG
Pretty much the same as above.
EpiInfo
Written by CDC. Less powerful, suitable for investigation of epidemics, has a
text editing module to aid in the design of questionnaires. Inexpensive.
True EpiStat
Powerful, evolved from a shareware concept.

The above are specialized programs. The epidemiologist's arsenal may
also include GLIM and one or more of the traditional heavy-duty
number crunchers, such as SPSS, SAS, Systat, BMDP, etc.

The EpiWare library of The Epidemiology Monitor (a newsletter for
epidemiologists) maintains a collection of public domain and shareware
epi programs that come very handy too. Write to:

    The Epidemiology Monitor      (they charge a US$ 5.00 handling fee
    Software Library              per program plus US$ 2.00 if ordered
    2560 Whisper Wind Ct.         from outside the U.S.A.)
    Roswell, GA  30076, U.S.A.

Check also the latest issues of the American Journal of Epidemiology or of
Epidemiology for ads re: some of the above packages. You'll find the
addresses you need there.

E. Franco, Univ. Quebec (imr2027@iaf.uquebec.ca)

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Newsgroups: bit.listserv.stat-l
Date:         Thu, 23 Jul 1992 12:25:00 EST
From:         "A. NARAYANAN DECISION & INFO. SYSTEMS--855-2665"
              <NARAYANA@IUBACS.BITNET>
Subject:      scholarly organisations

>I would appreciate your suggestions and comments about scholarly statistical
>organizations.

>This fall I begin my doctoral course work in the area of mass communication,
>with a cognate in statistics, at the University of Alabama. I woul appreciate
>the names and addresses of organizations that you feel might be profitable for
>me to contact.
 >                                  Ed Johnson
 >                                  University of Alabama
 >                                  EJOHNSO3 at UA1VM

I do not know anything specific to mass communications. You can make
enquiries in  any of the following associations:

American Statistical Association, 1429 Duke Street, Alexandria, VA 22314

Royal Statistical Society, 25 Enford Street, London W1H 2BH, UK

Institute of Mathematical Statistics, 3401 Investment Boulevard, Hayward,
CA, 94545, USA

Indian Statistical Institute, 203 Barrackpore Trunk Road, Calcutta, 700
035, India.

Institute of Statisticians, 36 Churchgate Street, Bury St Edmunds, Suffolk,
IP33 1RD, UK.

Good Luck!

Narayanan, A.
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Newsgroups: bit.listserv.stat-l
Date:         Thu, 30 Jul 1992 16:30:14 CET
From:         Joop Hox <A716HOX@HASARA11.BITNET>
Subject:      interaction effects in regression models

I have learned that if you have a regression model, for instance
Y=a+ b1X + b2Z + b3XZ, with an interaction, and you find that one of the
simple efects (say b1) is not significant, you still should not omit that
effect as long as the interaction is there. So I wrote a paper in which I
include a nonsignificant effect in a regression model, explicitly stating
that I do this because that variable was involved in an interation that was
significant. I now have a reviewer who states that it is otherwise, and
especially if the interest is in interactions and not in main effects
(such as in multilevel analysis), all main effects should be deleted instead.
I have difficulty believing this. Any comments?

Jop Hox
University of Amsterdam
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Posted-Date: Thu, 30 Jul 92 13:06:56 -0400
Newsgroups: bit.listserv.stat-l
Date:         Thu, 30 Jul 1992 13:06:56 -0400
From:         N o s t a l g i a <matsuda@LINC.CIS.UPENN.EDU>
Subject: Re: interaction effects in regression models

Supposing that there are some grounds in putting the non-significant variable
which turned out to interact with some other variable(s) in the model together
with the interaction term, how would you deal with the multicollinearity that
would surely ensue between that non-significant variable and the interaction
term?

Kenjiro Matsuda
Dept. of Linguistics
Univ. of Pennsylvania
matsuda@linc.cis.upenn.edu
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Date:         Thu, 30 Jul 1992 16:33:56 CDT
From:         Anup Kumar Roy <anuproy@VMD.CSO.UIUC.EDU>
Subject:      Time-series logistic regression -- help, anyone?
X-cc:         SAS Users' Mailing List <SAS-L@UGA.BITNET>

I have a user that has asked me the following. He wants to perform
logistic regression on a binary dependent variable, using lagged
dependents as endogenous predictors in addition to several exogenous
variables. One catch is that he has panel data covering a very large
time span, some 60-70 time periods. He is asking what he ought to do to
perform such an analysis, and what software would be helpful to him.

I'd appreciate any ideas from anyone with some experience in this area.
Thanks much in advance.

- anup k roy, u of illinois at urbana-champaign
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Date:         Thu, 23 Jul 1992 18:05:28 EST
From:         "D. Glen McPherson" <mcphers@HILBERT.MATHS.UTAS.EDU.AU>
Subject:      s-mode and t-mode in principal component analysis
X-To:         "stat-l list" <stat-l@vm1.mcgill.ca>

Thanks to those people who were kind enough to provide information about
S-mode and T-mode in principal component analysis and factor analysis. For
other list-server members who would like to explore these modes further, it
seems there are in fact 6 modes known as O, P, Q, R, S and T-modes. They were
introduced in Cattell's 1952 book on Factor Analysis and are discussed in R.J.
Rummel's book 'Applied Factor Analysis'(Evanston: Northwestern University Press.
 1970).

Regards,  Glen.

--
 ---------------------------------------------------------------------------
|  Glen McPherson            |                                   |  _--_|\  |
|  Department of Mathematics |-----------------------------------| /      \ |
|  University of Tasmania    |               E-Mail:             | \_.--._/ |
|  Australia.                | mcphers@hilbert.maths.utas.edu.au |       *  |
 ---------------------------------------------------------------------------
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Newsgroups: bit.listserv.stat-l
Date:         Thu, 30 Jul 1992 13:59:40 EDT
From:         EYF@NIHCU.BITNET
Subject: Re: interaction effects in regression models
X-To:         A716HOX@HASARA11.BITNET, STAT-L@MCGILL1.BITNET

> I have learned that if you have a regression model, for instance
> Y=a+ b1X + b2Z + b3XZ, with an interaction, and you find that one of the
> simple efects (say b1) is not significant, you still should not omit that
> effect as long as the interaction is there. So I wrote a paper in which I
> include a nonsignificant effect in a regression model, explicitly stating
> that I do this because that variable was involved in an interation that was
> significant. I now have a reviewer who states that it is otherwise, and
> especially if the interest is in interactions and not in main effects
> (such as in multilevel analysis), all main effects should be deleted instead.
> I have difficulty believing this. Any comments?
>
> Jop Hox
> University of Amsterdam


    I have always shared your believe that the main effects
need to be included if there is to be any meaningful
interpretation of the interaction terms.  Otherwise, in a
hypothetical case where there is no true interactive effect,
you are likely to have significant interactive terms simply
because of its correlation with the abscent main effect.

Mark Regets
EYF@NIHCU
U.S. Commission on Civil Rights
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Newsgroups: bit.listserv.stat-l
Date:         Wed, 22 Jul 1992 08:36:15 -0400
From:         W_URBAN@UNHH.UNH.EDU
Subject:      Multiple comparisons w/ repeated measures or split plot
              structures
X-To:         STAT-L@VM1.MCGILL.CA

    Under the new PROC MIXED in SAS, there is a /CL switch (confidence
    limits) for the LSMEANS statement.  It would be interesting for
    someone to compare that output w/ that from SPSS.

    n.b.  With unequal numbers of subjects per treatment, no two
    methods/packages that I have used have given the same F ratios.

    Willard Urban
    Biometrics
    University of New Hampshire

    will@unh.edu
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Subject: (no subject given)
Newsgroups: bit.listserv.stat-l
Date:         Thu, 30 Jul 1992 11:53:57 LCL
From:         Bill Pooler <RELOOP@SUVM.BITNET>

Tell listserv unsubscribe.  Bill Pooler
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Date:         Mon, 27 Jul 1992 18:18:32 EDT
From:         lawhiteside@UALR.EDU
Subject:      logistic regression

I have a variable that I think is a very good predictor of my good/bad
outcome measure.  However, it is so good (and I have so few cases)
that all of the good outcome cases measure in the "good" category
of the predictor variable ... that is the situation is like
this (where the numbers are the N in each cell) :


                        Outcome Variable
  Predictor var         bad            good
       low            143               28
       high            25                0


What I really want is to compute odds ratio - but I don't know how to handle
the 0 cell .....



On a related issue, I have another variable in the same model that is
"the number of people living in the home"  ... I want to be able to say
something like:   "Living with 4 or more people puts a child at risk of xxx"
Is there a standard way to determine the cut point?  I know I could leave it
continuous but in the first place I don't think it is linear and in the second
I want to know when the risk starts not just that more is worse....

Thanks in advance,
Leanne Whiteside
LAWHITESIDE@UALR.EDU
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Newsgroups: bit.listserv.stat-l
Date:         Fri, 24 Jul 1992 13:42:46 CDT
From:         "John J. Wiorkowski" <WIORKOW@UTDALLAS.BITNET>
Subject:      Regression in Lotus Ver. 3.1

     I just tried the examples

            y = 1 + x + x^2 + x^3 + x^4 + x^5   for x=1 to 20

     and

            y = x + x^2 + x^3 + x^4 + x^5;

and both computed correctly.  For the second equation I told the program to set
 the intercept at zero with no problems.  They have obviously fixed the bug in
the algorithm which existed in Ver. 2.1.
                                           John J. Wiorkowski
                                           Professor of Statistics
                                           University of Texas at Dallas
Newsgroups: bit.listserv.stat-l
From: tgee@alfred.carleton.ca (Travis Gee)
Subject: Re: tetrachoric correlation
Organization: Carleton University
Date: Fri, 31 Jul 1992 11:18:17 GMT

In <9207310336.AA07196@leven> brobinso@LEVEN.APPCOMP.UTAS.EDU.AU writes:

>Can anyone please supply a good reference to tetrachoric and/or polychoric
>correlation coefficients? I have a colleague who has consulted 20
>statistics texts without success.

For the tetrachoric r, see J.P. Guilford's _Fundamental Statistics in
Psychology and Education_, McGraw-Hill; London, pp. 336-338.

I don't know if later editions contain anything about the polychoric r
or not. I'm not familiar with it.

Cheers!

((((((((((((((((((((((((((((((((((((((((((((((((((((((((((
Travis Gee ()  tgee@ccs.carleton.ca     ()
           ()  tgee@acadvm1.uottawa.ca  ()        ()()()()
           ()                           ()              ()
           ()                           ()()()()()()()()() 

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Date:         Tue, 21 Jul 1992 11:05:07 GMT
From:         Ronan M Conroy <RCONROY@IRLEARN.UCD.IE>
Subject:      Periodic Regression Analysis

I have a researcher here who wants to analyse data on
pregnancy outcome using a technique called periodic regression
analysis (PRA). The reference she has is to a text by CI Bliss,
Statistics in Biology Vol II, McGraw-Hill.
Now I suppose that there's something a lot more recent on the topic.
More important, here's the model they want to test:
Number of stillbirths (adjusted) =  month of conception effect +
month of stillbirth effect + time trend effect + weather variables.
I suppose a lot of people on the list eat models like this for
breakfast, but they're quite rare in medicine. So what's the
technique of choice here, and can anyone recommend software -
especially interested in software for micros which would allow
the researcher more control over the analysis?

ronan
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From: tgee@alfred.carleton.ca (Travis Gee)
Subject: Re: interaction effects in regression models
Organization: Carleton University
Date: Fri, 31 Jul 1992 00:52:50 GMT

In <9207301706.AA25813@linc.cis.upenn.edu> matsuda@LINC.CIS.UPENN.EDU (N o s t a l g i a) writes:

>Supposing that there are some grounds in putting the non-significant variable
>which turned out to interact with some other variable(s) in the model together
>with the interaction term, how would you deal with the multicollinearity that
>would surely ensue between that non-significant variable and the interaction
>term?

     While I agree that one should stick with what is meaningful
theoretically, Kenjiro makes a point here that should not be
overlooked. While I don't know the literature well enough to support
my hunch, my gut instinct here is to treat the interaction term like
any other collinear variable, and look at the main effects _after_ the
interaction effects have been partialled out. This will determine the
extent to which the unique contribution of main effects stands over
and above that 'messy' term....just like with ANOVA, we interpret the
interaction first, since main effects are confounded by it. So we
orthoganalize the main effects by residualizing with respect to the
interaction.  Anybody out there with more info on this approach????
_Please_ post, this is becoming an issue in my lab, too!

Regards,

((((((((((((((((((((((((((((((((((((((((((((((((((((((((((
Travis Gee ()  tgee@ccs.carleton.ca     ()
           ()  tgee@acadvm1.uottawa.ca  ()        ()()()()
           ()                           ()              ()
           ()                           ()()()()()()()()() 

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Mailer: Elm [revision: 66.25]
Newsgroups: bit.listserv.cdromlan
Date:         Thu, 23 Jul 1992 11:22:26 CST
              <CDROMLAN@IDBSU.BITNET>
From:         Elvio Pederzolli <elviop@SLSA.SA.GOV.AU>
Subject:      running CBIS software with HP arpa services
X-To:         CDROMLAN@idbsu.idbsu.edu

We are running HP ARPA services on HP vectra 386 PCs connected to a  CBIS cdrom
tower and CD connection software on an ethernet novell network.  We are able
to use  the xcdredir and cduse commands successfully to map a local drive on the
PC to one of the CDROM drives.
When we try to access the mapped drive and do a directory listing of the cdrom
the system  eventually times out and shows a net busy command.
If we disable Arpa services and use a vanilla flavour version of IPX/netx then
all works fine and we are able to access and search the CDROM drive.

Has any a solution to this problem - we need Arpa services working on PCs as
we must also be able to access the main processor on the network (an HP 9000
series box) as well.
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Newsgroups: bit.listserv.cdromlan
Date:         Wed, 29 Jul 1992 18:20:07 EDT
              <CDROMLAN@IDBSU.BITNET>
From:         Steven Kriby <kirby@ATHENA.CS.UGA.EDU>
Subject: Re: Drive Dismount Problem.
X-To:         CDROMLAN%IDBSU.BITNET@uga.cc.uga.edu

Ryan Schultz asked about getting Hitachi drives to dismount from a SCSI Express
LAN.  I have no idea if this is related to the problem, Ryan, but MDI only
certifies SCSI Express for use with Toshiba drives.  Could be a mismatch between
your CD drives and SCSI Express.  Hope not.


Steven Kirby
University of Georgia
kirby@athena.cs.uga.edu
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Newsgroups: bit.listserv.cdromlan
Date:         Wed, 22 Jul 1992 09:28:09 -0400
Reply-To:     georger@kean.ucs.mun.ca
              <CDROMLAN@IDBSU.BITNET>
From:         georger@KEAN.UCS.MUN.CA
Subject:      OS/2 CD-ROM & SCSCI Express Again
X-To:         cdromlan@idbsu.BITNET, arnold@microdes.mhs.compuserve.com

>>  I have been looking at options for mounting CD-ROMs on an OS/2 LAN
>>MANAGER file server.  I have > received the info for SCSCI EXPRESS for OS/2
>>which is interesting but doesn't answer my question >about differences in
>>performance between it (SCSCI Express) and OS/2's built in CDROM support
>>IFS.

>>  Are there any performance advantages to SCSCI Express in an OS/2
>>environment or is it basically > similar to what can be achieved using OS/2
>>1.3+ CDROM IFS (installable file system)?

>The OS/2 CD-ROM IFS requires a CD-ROM device driver, in the same manner as
>MSCDEX requires a CD-ROM device driver.  SCSI Express provides a CD-ROM
>device driver for OS/2.  You still must use the CDROM IFS with SCSI
>Express.

>- Arnold Jones
>Micro Design International, Inc.
>arnold@microdes.mhs.compuserve.com

  I would still like some further clarification of the role of SCSI Express in
the OS/2 environment.   Arnold seems to indicate in his last paragraph that
SCSCI Express provides a device driver for interaction with the OS/2 CD-ROM IFS.
Yet certainly I can achieve the same objective by using drivers for a SCSCI
interface card (let's use the example of an ADAPTEC 1542).

  If there are any particular performance advantages to using SCSCI Express over
a generic SCSCI interface card with the CD-ROMs I would like to hear about them.

Thanks

George Beckett
Health Sciences Library
Memorial University of Newfoundland
GEORGER@KEAN.UCS.MUN.CA
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