Re: s-function in SPSS curve estimation

2001-12-21 Thread Donald Burrill

On Thu, 20 Dec 2001, Johannes Hartig wrote:

 Does anyone know the original applications
 or the meaning of the S-function in SPSS?
 I know the function itself:
 Y = e**(b0 + (b1/t)) or
 ln(Y) = b0 + (b1/t)
 and I know how the curve looks like, but I am wondering in which 
 fields of research this function is typically used and which empirical 
 relations it describes?

You may find it looks a little more like other functions you have seen 
somewhere if you rewrite it as 
Y = a*e**(b1), or equivalently
ln(Y) = ln(a) + b1
 When it is desired to find the value of a, it is simply e**(b0), 
 from your equation above.

In biological contexts, this describes an exponential growth curve 
(which applies to some period of almost any organism's life, usually 
its extreme youth, before environmental constraints restrict its growth 
rate).  Then the parameter b1 is positive and is intimately connected 
to doubling time, the length of time during which the organism doubles 
in size.  I suspect that this is why your original formulation had b1/t 
in the exponent.

If b1 is negative, then the equation models exponential decay, and the 
parameter b1 is connected (in exactly the same way as above) to 
half-life.  Applications include (perhaps obviously) the diminution 
over time of the radioactivity of a radioactive substance.

- DFB.
 
 Donald F. Burrill [EMAIL PROTECTED]
 184 Nashua Road, Bedford, NH 03110  603-471-7128



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Re: Plese give full path URL for SPSS or MINITAB or Pace2000 downloading

2001-11-12 Thread Bill Miller

I guess I disagree that good free statistical software does not exist,
particularly for students learning statistics.  ViStat, and packages I have
developed meet the needs of many students.

William G. Miller
email:[EMAIL PROTECTED]
homepage: http://OpenStat.homestead.com/OpenStatMain.html
homepage2: http://shawneelink.com/~millerwg

- Original Message -
From: Alan Miller [EMAIL PROTECTED]
To: [EMAIL PROTECTED]
Sent: Sunday, November 11, 2001 4:20 PM
Subject: Re: Plese give full path URL for SPSS or MINITAB or Pace2000
downloading


 Peter Cramer wrote in message
 [EMAIL PROTECTED]...
 Hello List Members,
 i urgently need good stat software package for Win98 to develop my stat
 assignments. Pleas\e send me full path URL for FREE downloading (or)
 SPSS, MINITAB, \

 I don't think they exist.
 However you can download CoStat and use it for free until part way
 into next year, even though it is commercial software.
 the link is:
 www.cohort.com

 Cheers

 --
 Alan Miller (Honorary Research Fellow, CSIRO Mathematical
  Information Sciences)
 http://www.ozemail.com.au/~milleraj
 http://users.bigpond.net.au/amiller/





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Pls give link for free SPSS downloading

2001-11-10 Thread Andrew

Hello Forum Members,

I am student and need SPSS (or PaceXL or Pace2000) software
for working out my stat assignments.
Does anybody know link for free any of that software downloading
(i have Win98, IBM PC).

Pls answer me directly to partner545{AT}yahoo{DOT}com
since i am in nomail mode.  or delete  from
this article header address and reply me.

Thank you.

Andrew Dooglas.






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spss sg test comparing changes in two groups

2001-10-30 Thread linda mcguigan

HI
I am working in SPSS10. I have two groups research/ control with pre
and post data for each  group. I want to use a sig test to check
whether any difference in progress between pre and post data between
research group and control is a sig difference. Currently I have the
all data in four separate files.Please could any one tell me which
test to use and how I should apply such a test.
Many thanks Linda


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SPSS

2001-07-06 Thread David Schaefer

Help,

My Stats professor is having us run some correlations and what not through 
SPSS. She has asked us to transform some raw scores to z-scores for a 
reading achievement test. The commands she has asked us to type in the 
syntax editor is: COMPUTE zread = (reading-52.23)/10.25.
  EXECUTE.

The 52.23 and 10.25 are the mean and standard deviation of the data, 
repectively. Absolutely nothing happens when I highlight and Run these 
commands. Any slight alterations of them result in a variety of error 
messages. I am running SPSS 10.1. If anybody has any ideas I would be 
extremely greatful.

Thanks,


Dave
_
Get Your Private, Free E-mail from MSN Hotmail at http://www.hotmail.com.



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Re: SPSS

2001-07-06 Thread Donald Burrill

On Sat, 7 Jul 2001, David Schaefer wrote:

 My Stats professor is having us run some correlations and what not 
 through SPSS.  She has asked us to transform some raw scores to 
 z-scores for a reading achievement test.  The commands she has asked 
 us to type in the syntax editor is: 
   COMPUTE zread = (reading-52.23)/10.25.
   EXECUTE.
 
 The 52.23 and 10.25 are the mean and standard deviation of the data, 
 repectively.  Absolutely nothing happens when I highlight and Run 
 these commands. 

What were you expecting to happen?  If these are the only commands 
that you asked to be carried out, there would be no visible happening, 
because no output has been called for.  There will have been a variable 
named zread created by the COMPUTE/EXECUTE sequence and stored in the 
active data file, but if you have not asked for output you won't get any. 

You might have asked, for example, for the mean(s) and standard 
deviation(s) of this new variable (and perhaps other extant variables); 
or for a correlation matrix among several variables, including this 
variable;  or for a listing of the values of this variable (if the 
number of cases is not prohibitively large).

 Any slight alterations of them result in a variety of error messages.  

Yes, that sounds reasonable, since any alteration would probably result 
in misspelling one or more command name(s) or variable name(s).

 
 Donald F. Burrill [EMAIL PROTECTED]
 184 Nashua Road, Bedford, NH 03110  603-471-7128



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Re: additional variance explained (SPSS)

2001-05-14 Thread Elliot Cramer

Dianne Worth [EMAIL PROTECTED] wrote:

: I have a multiple regression y=a+b1+b2+b3+b4+b5.  My Adj. R-sq is .403.  

you can't decompose adjusted R-sqs.  The only additive decomposition (and
the only decomposition that makes sense) is the stepwise composition of
R-sq, 
adding additional variables in a specified order.  This answers a
well-defined question: how much does a set of variables add to a model
given another set of variables.  There are no other questions that can be
answered by regression tests.  The various SAS tests are all special cases
and DO NOT test the same hypothesis for a particular effect test.


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additional variance explained (SPSS)

2001-05-11 Thread Dianne Worth
I have a multiple regression y=a+b1+b2+b3+b4+b5. My Adj. R-sq is .403. 
I would like to determine how much explanation of variance each IV provides. I have created individual models (y=a+b1+b2+b3) to obtain "individual" Adj. R-sqs, but am not sure if it's permissible tosimply subtract one from the other and then state, for example, that b3 provides an additional XX explanation.
There must be an easier way to do this in SPSS!
TIA,
DW
Do You Yahoo!?
Yahoo! Auctions - Click and bid on cool stuff like Dave Matthews Band Tickets & more!

RE: additional variance explained (SPSS)

2001-05-11 Thread Silvert, Henry

Please clarify for me. Do you wish to know how much each individual IV
provides independent of the others? In which case I think that you would
have to do a number of univariate regressions. On the other hand, if you
have a hierachical structure in mind and want to know how much additional
information each IV provides I think that you could perform a stepwise
regression.

Henry M. Silvert Ph.D.
Research Statistician
The Conference Board
845 3rd. Avenue
New York, NY 10022
Tel. No.: (212) 339-0438
Fax No.: (212) 836-3825

 -Original Message-
 From: Dianne Worth [SMTP:[EMAIL PROTECTED]]
 Sent: Friday, May 11, 2001 2:35 PM
 To:   [EMAIL PROTECTED]
 Subject:  additional variance explained (SPSS)
 
 I have a multiple regression y=a+b1+b2+b3+b4+b5.  My Adj. R-sq is .403.  
 
 I would like to determine how much explanation of variance each IV
 provides.  I have created individual models (y=a+b1+b2+b3) to obtain
 individual Adj. R-sqs, but am not sure if it's permissible to simply
 subtract one from the other and then state, for example, that b3 provides
 an additional XX explanation.
 
 There must be an easier way to do this in SPSS!
 
 TIA,
 
 DW
 
  
 
   _  
 
 Do You Yahoo!?
 Yahoo! Auctions http://auctions.yahoo.com/ - Click and bid on cool stuff
 like Dave Matthews Band Tickets
 http://user.auctions.yahoo.com/show/auctions?userID=dave_matthews_band_ti
 cketsu=%3adave_matthews_band_tickets  more! http://auctions.yahoo.com


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Re: Comparing Software Options-NCSS, Minitab, SPSS

2001-04-19 Thread Ken K.

I am a MINITAB user and don't claim to have used it with the sample sizes
your talking about. BUT, I would venture to say that it has the best
reliability analysis tools of any general statistics package out there. Only
Weibull ++ and (maybe) WeibullSmith are better. By "reliability analysis"
I'm referring to nonparametric and parametric analysis of censored data.

If that is the type of survival analysis you are wanting to do, you might
call Minitab Inc. to see how MINITAB will handle the sample sizes you have.
By the way, you can download a FULL working copy of MINITAB 13 from their
website and try for yourself - http://www.minitab.com .The only catch is the
software stops functioning after 30 days.

I think MINIAB will be more expensive than NCSS, so if NCSS has the
analytical tools you need it may be a better choice.

If you'll be using the tool for a long time (not just a one time analysis) I
suggest you get demos of all of them and see for yourself which meets your
needs. Its the only sure way to tell.

Ken

"Robert Ehrlich" [EMAIL PROTECTED] wrote in message
news:[EMAIL PROTECTED]...
 I vote for NCSS with hard copy manuals (they are worth it).  The maximum
number of
 samples that we have input to NCSS is around 500,000 and it still ran
albeit very
 slowly (I was using the time series procedure).

 all of your potential choices are OK.  My choice of NCSS revolves around
price,
 good documentation and friendliness of an informed bu not (stats)
prfessional user.

 Good Luck

 ELANMEL wrote:

  I would appreciate any recommendations from the group for Software for a
  research project I am begining.  I am considering NCSS, Minitab and SPSS
(and
  maybe Stata).  I am running Windows 98, using a home computer.
 
  I need to be able to merge two fairly large datasets (totaling about
50,000
  observations x 800 variables, but with ~3000 observations used for
analysis
  once merged), and perform a variety of statistical analyses, including
  correllations, regressions, logistic regression, factor analysis and
survival
  analysis.
 
  NCSS is the least expensive option ($300 academic price w/ electronic
manuals),
  Stata slightly more expensive, and SPSS much more expensive.  The
minitab site
  doesn't give prices, but I expect it to be lower than SPSS.
 
  Any help would be appreciated.  Please email responses if you can!





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Re: Comparing Software Options-NCSS, Minitab, SPSS

2001-04-19 Thread dennis roberts



one can possibly download mtb for $26 for 6 months ... at

http://www.-e-academy.com/minitab

i am not sure everyone qualifies but, it is worth a try AND is the full 
release 13

if you played your cards right ... you can download for FREE for 30 days 
and then EXTEND the "lease" after that ... so you might gain effective use 
for 7 months or so ... 



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How to make perceptual mapping in SPSS ?

2001-04-17 Thread Agung Terminanto

Hi !

I want to make perceptual mapping/multidimensional scaling - for marketing
research.
Please help me, about :
1. Quisioner format
2. Raw data - how to obtain these data from responden ?
3. Disimiliarity matrix - how to obtain these with SPSS procedure ?
4. Recomended site for perceptual mapping

If any, please sent a sample data - via email


Many thanks





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Speaking of ANOVA in SPSS...

2001-03-12 Thread Will Hopkins

I'm trying to reduce all stats to a few simple procedures that 
students can do EASILY with available stats packages.  A two-way 
ANOVA or an ANCOVA is as complex as I want to go. I thought SPSS 
would do the trick, but I was amazed to discover that it can't.

Here's the example.  I want students to convert repeated-measures 
data into unpaired t tests or non-repeated measures ANOVA, by using 
change scores between the time points of interest.  That's no problem 
when there is just the group effect:  the analysis becomes a simple 
unpaired t test.  But when you have an extra between-subjects effect 
(e.g. males and females in the treatment and control groups) it 
becomes a two-way ANOVA.  You make a column of change scores between 
the time points of interest (e.g., post and pre), and that's your 
dependent variable.  The two independent effects are group (exptal 
and control, say) and sex (male and female).  The group term gives 
the effect of the treatment averaged for males and females.  Again, 
no problem there, but what I want is an appropriate customized 
contrast of the interaction term, which yields the difference in the 
overall effect between males and females.  SPSS version 10 can't do 
it.  I checked the on-line help, and it looks like you have to use 
the command language.  Well really, what student is going to manage 
that?  It's out of the question.  Sure, you can get a p value for the 
interaction, but I want confidence limits for the difference between 
males and females.  I've got my students to convert the p value, the 
degrees of freedom, and the observed value of the effect into 
confidence limits, but I shouldn't have to resort to that.

I'd also like SPSS to do an ANCOVA, but again I want to do contrasts 
for the interaction, and again, they ain't there.  Or did I miss 
something?  If so, please let me know.  And can you let me know of 
any simple, and preferably CHEAP or FREE, packages that will do what 
I want?

Will
-- 
Will G Hopkins, PhD FACSM
University of Otago, Dunedin NZ
Sportscience: http://sportsci.org
A New View of Statistics: http://newstats.org
Sportscience Mail List:  http://sportsci.org/forum
ACSM Stats Mail List:  http://sportsci.org/acsmstats

Be creative: break rules.



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Re: spss polynomial contrast estimates

2001-01-29 Thread Rich Ulrich

On Sun, 28 Jan 2001 13:57:02 -0500, "K. Bloom" [EMAIL PROTECTED]
wrote:

 I just ran some data through a simple one way polynomial analysis in spss.
 I had 3 groups and very unequal n's.  By hand, I calculated the contrast
 estimates for both the linear and quadratic trends using the unweighted
 formula for determining coefficients. The value I got was different than the
 value of contrast estimates I got from the spss printout.  So I tried to
 compute new coefficients weighted for sample sizes.  But when I did that I
 got bizarre linear and quadratic contrast estimates.  Help.
 
 Here are my data for the three groups...

 snip, detail of problem, possible solutions ... 

 perhaps someone knows that formula that spss uses to calculate the
 polynomial contrast estimates.
 

I've had trouble navigating the SPSS site, 
so I finally bookmarked the algorithms.

SPSS documents this one at -
  http://www.spss.com/tech/stat/algorithms/oneway.pdf

It appears that  "group" codes are used as codes for spacing.

-- 
Rich Ulrich, [EMAIL PROTECTED]
http://www.pitt.edu/~wpilib/index.html


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SPSS Macro for computing Gini coefficient of inequality

2001-01-29 Thread MichalB

Hello to all.

Recently I needed to compute the Gini coefficient in SPSS. When I found,
that there is no possibility to get it via DESCRIPTIVES or FREQ procedure I
tried to write a macro which would compute it for me.

Unfortunately I don't have much experience in macro writing, I don't know
how to do it. I used the equation from Sen's "On Economic Inequality", where
G is expressed as a function of a weighted sum of all personal incomes with
ordinal weights (1 for the richest, 2 for the second richest etc). I didn't
know how to compute this sum in SPSS macro and than use it in further
operations.

I have also visited WWW.SPSS.COM, but such a macro was anavailable.

Is anyone of you able to give me some brief advise how to cope with the
problem


Thank you in advance

Michal Bojanowski



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Re: SPSS Macro for computing Gini coefficient of inequality

2001-01-29 Thread Art Kendall

I haven't used the Gini coefficient in the last 25 years, so I can't give more
complete advice.  However, from your description, you can can get such a sum
without a macro by

RANK VARIABLE= income (d)  /rank into r_income.
* to get the rank for each case.
WEIGHT BY r_income.
* to turn on weighting.
DESCRIPTIVES VARIABLES= r_income /statistics=sum.

Isn't the graph that  the GINI coefficient summarizes something like
X= proportion of people with this income or lower
Y= proportion of dollars to people with this income or lower?

p.s. check what you want to do with ties.
MichalB wrote:

 Hello to all.

 Recently I needed to compute the Gini coefficient in SPSS. When I found,
 that there is no possibility to get it via DESCRIPTIVES or FREQ procedure I
 tried to write a macro which would compute it for me.

 Unfortunately I don't have much experience in macro writing, I don't know
 how to do it. I used the equation from Sen's "On Economic Inequality", where
 G is expressed as a function of a weighted sum of all personal incomes with
 ordinal weights (1 for the richest, 2 for the second richest etc). I didn't
 know how to compute this sum in SPSS macro and than use it in further
 operations.

 I have also visited WWW.SPSS.COM, but such a macro was anavailable.

 Is anyone of you able to give me some brief advise how to cope with the
 problem

 Thank you in advance

 Michal Bojanowski



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Matrix language and Developers Guide in SPSS

2001-01-14 Thread MichalB

Hello to all.

Recently I was looking for The Developers Gudie for SPSS. I couldn't find on
the www.spss.com.

I would appreciate if anyone of You could give me a link to location of DG.


Thanks in advance

Michael



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SPSS TableCurve 2D 5.0 for Win9x/NT $396

2000-11-19 Thread Genacad

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biserial rank correlations with SPSS oder SAS?

2000-10-02 Thread Alexander Schestag

Hi everyone,

is there anyone who knows a SPSS or SAS macro with which it is
possible to compute biserial rank correlations? I have found an SAS
macro but this one doesn't work. Do you know any alternatives?

Thanks, Alex


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Re: biserial rank correlations with SPSS oder SAS?

2000-10-02 Thread Mark V. Casazza

SPSS has a point biserial FAQ at: 
http://www.spss.com/tech/answer/result.cfm?tech_tan_id=10107

for rank biseral you might try posting the question on the SPSSX-L list 
which you can find info for at: 
http://www.spss.com/tech/listserves.html#SPSS

HTH,
Mark

In article [EMAIL PROTECTED], [EMAIL PROTECTED] says...
 Hi everyone,
 
 is there anyone who knows a SPSS or SAS macro with which it is
 possible to compute biserial rank correlations? I have found an SAS
 macro but this one doesn't work. Do you know any alternatives?
 
 Thanks, Alex
 


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Re: Searching bibliography on comparisons among statistics programs(SAS, SPLUS, SPSS, BMDP, ...)

2000-09-29 Thread Paul W. Jeffries

You don't say whether your students are looking for scholarly articles or
something more practical.  On the practical side, they could look at Using
Mulitvariate Statistics by Barbara Tabachnick and Linda Fidell.  The
authors compare SAS, SPSS, BMDP, and SYSTAT for various multivariate
procedures.

Paul W. Jeffries
Department of Psychology
SUNY--Stony Brook
Stony Brook NY 11794-2500

On Fri, 29 Sep 2000, Pedro C. Álvarez Esteban wrote:

 Date: Fri, 29 Sep 2000 12:39:54 +0200
 From: "Pedro C. Álvarez Esteban"
 pedroce@westad.[NOSPAM-REMOVE].eis.uva.es
 To: [EMAIL PROTECTED]
 Subject: Searching bibliography on comparisons among statistics programs
 (SAS, SPLUS, SPSS, BMDP, ...)
 
 I have two students interested in comparing several statistics programs,
 such as SAS, SPSS, BMDP, SPLUS, ... (Yes, I know they are very different).
 Does any one know some bibliographic references??
 
 Thanks in advance,
 
 Pedro.
 
 --
 Statistics and R.O. Department
 University of Valladolid (Spain)
 
 e-mail: pedroce@westad.[NOSPAM-REMOVE]eis.uva.es
 
 
 
 
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Re: SPSS question

2000-09-18 Thread Jonathan Fry

SPSS for Windows can read data files created by SPSS for Macintosh, and
SPSS for Macintosh (releases 6 and after) can read data files created by
SPSS for Windows.  No conversion is necessary.

Jonathan Fry
SPSS Inc.
Developer
SPSS questions to [EMAIL PROTECTED], please.


Aaron wrote:

 Hi all,

 Can data files from SPSS for Mac be converted to SPSS for Windows?
 Are they saved in the same format?

 Best, Aaron
 [EMAIL PROTECTED]



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SPSS question

2000-09-11 Thread Aaron

Hi all,

Can data files from SPSS for Mac be converted to SPSS for Windows?
Are they saved in the same format?

Best, Aaron
[EMAIL PROTECTED]


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Re: How can I analyze split-design by SPSS v9.0?

2000-09-07 Thread Joe Ward

Anuvat --

Here comes my "standard" comment!

1.  State your research question(s) in "natural language".
2.  Create a model that enables you to answer the "natural language"
questions that YOU WANT.
3.  Impose restrictions on YOUR MODEL that answers YOUR questions of
interest.
4.  Use the computer to get YOUR DESIRED RESULTS.

Then AFTER YOU HAVE VERIFIED THAT THERE EXISTS A "PACKAGED" ALGORITHM THAT
ANSWERS YOUR QUESTIONS OF INTEREST, THEN USE THE "PACKAGED" ALGORITHM.

Since many "interesting" research questions involve creating models for
unique problems, it can be more efficient to create your OWN MODELS rather
than searching for "packaged" algorithms that MAY fit YOUR research
questions of interest.  IMHO  it seems best to take time to develop
"model-creation" skills so that you can have the POWER that is available.

If you have time to take a look at the URL below, Slides 7 and 8 of the
PowerPoint presentation on "Using Calculators and Computers in Statistics" -
Laura Niland  Joe Ward, CAMT98 45th Annual Conference, San Antonio, July
23, 1998 - give a pictorial view of "Forcing" vs. "Creating" Models.

Good luck--

Joe


Joe Ward.Health Careers High School
167 East Arrowhead Dr4646 Hamilton Wolfe
San Antonio, TX 78228-2402...San Antonio, TX 78229
Phone: 210-433-6575...Phone:  210-617-5400
Fax: 210-433-2828Fax: 210-617-5423
Email: [EMAIL PROTECTED]
http://www.ijoa.org/joeward/wardindex.html
***
- Original Message -
From: "Anuvat Jangchud" [EMAIL PROTECTED]
To: [EMAIL PROTECTED]
Sent: Wednesday, September 06, 2000 10:32 PM
Subject: How can I analyze split-design by SPSS v9.0?


 I would like to use SPSS v.9.0 for SPLIT Design anlysis.  Could you help
me
 out?



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How can I analyze split-design by SPSS v9.0?

2000-09-06 Thread Anuvat Jangchud

I would like to use SPSS v.9.0 for SPLIT Design anlysis.  Could you help me
out?



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SPSS SigmaPlot 2000 6.0 Win9x/NT $449

2000-09-04 Thread Genacad

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limit on number of cases in SPSS 10

2000-08-09 Thread yarlas . 1

Hello,

I was wondering if there is a limit on the number of cases (rows) that
SPSS 10.0.05 for Windows can handle.

Best, Aaron
[EMAIL PROTECTED]


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OT - Help Needed Reviewing SPSS 10 for Windows Test Questions

2000-08-02 Thread icurhere2

Hello,

I am developing a test in SPSS 10, and need some people to review the
questions that are currently in beta.  The test should be there for the
next couple of days, and I would appreciate any comments about the test
that could be provided.  If interested, the beta test is available at
the following URL:

http://www.brainbench.com/testcenter/brainbench/t1.jsp?core=%
2Fbetapins.html

making sure that the URL is one line.  All feedback and comments will
be taken into account.  A beta test consists of 32 items in 2
independent sets of 16.  If you have any questions or comments, please
contact me directly at the address below (remove NOSPAM, of course).

Thanks,
Michael Becraft
mailto:[EMAIL PROTECTED]


Sent via Deja.com http://www.deja.com/
Before you buy.


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Re: I need help!!! SPSS and Panel Data

2000-07-03 Thread Bruce Weaver

On Sun, 2 Jul 2000 [EMAIL PROTECTED] wrote:

 Help!
  I'm a Norwegian student who can't figure out how
 to work SPSS 9.0 properly for running a multiple
 regression on panel data (longitudinal data or
 cross-sectional time-series data). My data set
 consist of financial data from about 300 Norw.
 municipalities. For each municipality I have
 observations for 7 fiscal years. My problem is
 that I don't know how to "tell" SPSS that the
 cases are grouped 7 by 7, i.e that they are panel
 data.
 Can somebody please help me!
 
 Ketil Pedersen
 

Hi Ketil,
I'm not familiar with time series terminology, but if I followed 
you, you have a data file that looks something like this:


MUNICIP  YEAR   Y
  1   1   
  1   2 
  1   3   
etc
  1   7  
  2   1  
  2   2  
  2   3  
etc
  2   7  
  3   1
  3   1
etc
  3   7
etc


I think you may have one or more "between-groups" variables too, but
wasn't sure about this.  Anyway, if this is more or less accurate, then I
think you would find it easier to use UNIANOVA rather than REGRESSION.  In
the pulldown menus, you find it under GLM--Univariate, I think.  Here's
an example of some syntax for the data shown above with SIZE included as a
between-municipalities variable: 

UNIANOVA
  y  BY municip year size
  /RANDOM = municip
  /METHOD = SSTYPE(3)
  /INTERCEPT = INCLUDE
  /EMMEANS = TABLES(year)
  /EMMEANS = TABLES(size)
  /EMMEANS = TABLES(year*size)
  /CRITERIA = ALPHA(.05)
  /print = etasq
  /plot = resid
  /DESIGN = size municip(size)
year year*size .


Note that municip is a random factor here (i.e., it is treated the same
way Subjects are usually treated).  And the notation "municip(size)" 
indicates that municip is nested in the size groups.  The output from this
syntax will give you an F-test for size with municip(size) as the error
term; and for the year and year*size F-tests, the error term (called
"residual") will be Year*municip(size), because that's all that is left
over. 

You can get the same F-tests using REGRESSION, but not as easily.  For 
one thing, you have to compute your own dummy variables for MUNICIP and 
YEAR; and if you have a mixed design (between- and within-municipalities 
variables), you pretty much have to do two separate analyses, as far as I 
can tell.

Hope this helps.
-- 
Bruce Weaver
[EMAIL PROTECTED]
http://www.angelfire.com/wv/bwhomedir/




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Re: SPSS GLM - between * within factor interactions

2000-05-11 Thread Johannes Hartig



"Donald F. Burrill" schrieb:

 On Wed, 10 May 2000, Johannes Hartig wrote:

  I guess I have to accept there is no way to customize within * between
  interactions in GLM.  Thanks for the tip using regression, but I think
  in future I'd rather try to give a meaning to the default interactions
  ;-)  This leads me back to the second part of my original question:  Is
  there some good statistical reason *against* removing e.g. a
  covariate * within-factor interaction from a repeated measures model?

 Well, that depends.  If the data contain an interestingly strong and
 significant interaction, one wouldn't want to remove it, would one?
 The existence of such an interaction implies that the slope of the
 regression line of (response varible) vs. (covariate) differs from cell
 to cell of the design;  I'd surely want to examine those differences
 before deciding to throw them out.  (They might, for instance, be trying
 to tell me that I should be dealing with, say, the logarithm or the
 square root of the covariate, rather than with the covariate in its
 original form.)
 On the other hand, if you are determined that the within-cell
 regression slope for this covariate will be the same in all cells (that
 is, the regression lines will be strictly and exactly parallel throughout
 the design), regardless of what the data may be trying to convey, then
 removing the interaction will do that.  (Doing that will also provide
 useful information for comparing the model with interaction to the model
 without interaction, of course.)
 It is always a fair approach to ask, and then to show, how much
 the inclusion (or not) of one or more terms in a model affects the
 results of the analysis.

Thank you very much for your answer. This is quite what I thought
and why I looked for a way to include or remove specific effects.
And this is why I'm astonished by the fact SPSS does not allow me
to customize within * between factors in its standard procedures.

I guess I'll rather try different Software than using regression with
dummy variables or something, but thanks to all for the tips!
Best wishes,
Johannes



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Re: SPSS GLM - between * within factor interactions

2000-05-11 Thread Graeme Byrne

I'm not sure if this will work for your experiment but have you tried
respecifying the model in terms of a nested design.

Using syntax you can type A(B) in the DESIGN subcommand which means A nested
within B. The code example below would fit the model

Y = Constant + A+ B(A)

UNIANOVA
  Y  BY A B
  /METHOD = SSTYPE(3)
  /INTERCEPT = INCLUDE
  /CRITERIA = ALPHA(.05)
  /DESIGN = A B(A) .

So you get tests for the main effect of  A and the effect of  B within A.



"Johannes Hartig" [EMAIL PROTECTED] wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
 Hi group,
 I've posted this problem a while ago without getting an answer, and I
 still didn't find out myself,
 so here is another try:
 (I'm working with SPSS 9.0)
 When I do a GLM-repeated measures analysis, in SPSSI get tests for all
 interactions bewteen every within-and every between-subject factor.
 Supposed I don't want to include all these interactions in my model,
 e.g. the interaction between a covariate and a within-subject
 factor: Is there a way to adjust my model not to include this effect?
 (Syntax welcome!)
 Or, if this is not possible (I vaguely remember MANOVA in former
 versions did not test these interactions as default), is there a good
 statistical reason to test all possible within*between-interactions?
 Any help is appreciated,
 Johannes Hartig





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Re: SPSS GLM - between * within factor interactions

2000-05-10 Thread Johannes Hartig

I guess I have to accept there is no way to customize within * between
interactions in GLM. Thanks for the tip using regression, but I think in
future I'd rather try to give a meaning to the default interactions ;-)
This leads me back to the second part of my original question: Is there
some good statistical reason *against* removing e.g. a covariate * within-
factor interaction from a repeated measures model?
TIA,
Johannes

Bruce Weaver schrieb:

 How about generating your own dummy variables for the various main
 effects and interactions of interest (including dummy variables for
 subject), and using REGRESSION instead of GLM repeated measures?  You can
 use the /TEST subcommand to compare the full model to various reduced
 models to produce tests for the main effects and interactions of
 interest.  For a between-within design, subject will be nested in the
 between subjects variables, so I think you'll have to enter those
 between subjects variables on one step, and the dummy variables for
 subject on the next step.  (If you enter the dummy variables for subject
 first, you won't be able to enter the between Ss variables, because
 they'll provide no further information.  It would be like entering codes
 for City, and then trying to enter codes for country:  Once you know the
 city, you already know country.)

  I have tried modifying the syntax, but I'm not getting any further.
  The within- and between-subject effects are defined seperately
  in /WSDESIGN and /DESIGN, and mixing them only gives me
  cryptic error messages. Could it be possible to customize within *
  between interactions with /LMATRIX or /KMATRIX? I am
  checking already the syntax guide, but no success so far :(
  Thanks for any advice,
  Johannes
 



 Good luck.
 Bruce



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Re: SPSS GLM - between * within factor interactions

2000-05-10 Thread Donald F. Burrill

On Wed, 10 May 2000, Johannes Hartig wrote:

 I guess I have to accept there is no way to customize within * between 
 interactions in GLM.  Thanks for the tip using regression, but I think 
 in future I'd rather try to give a meaning to the default interactions 
 ;-)  This leads me back to the second part of my original question:  Is 
 there some good statistical reason *against* removing e.g. a 
 covariate * within-factor interaction from a repeated measures model?

Well, that depends.  If the data contain an interestingly strong and 
significant interaction, one wouldn't want to remove it, would one? 
The existence of such an interaction implies that the slope of the 
regression line of (response varible) vs. (covariate) differs from cell 
to cell of the design;  I'd surely want to examine those differences 
before deciding to throw them out.  (They might, for instance, be trying 
to tell me that I should be dealing with, say, the logarithm or the 
square root of the covariate, rather than with the covariate in its 
original form.)
On the other hand, if you are determined that the within-cell 
regression slope for this covariate will be the same in all cells (that 
is, the regression lines will be strictly and exactly parallel throughout 
the design), regardless of what the data may be trying to convey, then 
removing the interaction will do that.  (Doing that will also provide 
useful information for comparing the model with interaction to the model 
without interaction, of course.)
It is always a fair approach to ask, and then to show, how much 
the inclusion (or not) of one or more terms in a model affects the 
results of the analysis.
-- DFB.
 
 Donald F. Burrill [EMAIL PROTECTED]
 348 Hyde Hall, Plymouth State College,  [EMAIL PROTECTED]
 MSC #29, Plymouth, NH 03264 603-535-2597
 184 Nashua Road, Bedford, NH 03110  603-471-7128  



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Re: SPSS GLM - between * within factor interactions

2000-05-09 Thread Johannes Hartig

I have tried modifying the syntax, but I'm not getting any further.
The within- and between-subject effects are defined seperately
in /WSDESIGN and /DESIGN, and mixing them only gives me
cryptic error messages. Could it be possible to customize within *
between interactions with /LMATRIX or /KMATRIX? I am
checking already the syntax guide, but no success so far :(
Thanks for any advice,
Johannes

Bruce Weaver schrieb:

 On Mon, 8 May 2000, Johannes Hartig wrote:

   Click on the Model box in the pull-down menu.  The default model
   is the full-factorial, but you can opt for other custom models with only
   the effects you are interested in.
 
  Thnks for your answer, but - I can't! - or am I missing something obviuos?
  I only can customize within- and between-factor effects seperately, _not_
  interactions between both. WHY?
 
  Johannes
 

 Sorry Johannes, I didn't know that.  I wonder if this is a peculiarity of
 using the GUI.  Have you tried pasting the syntax, and then modifying it
 to include only the interactions of interest?  It probably won't work
 that way either, but it's worth a try.

 Bruce



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Re: SPSS GLM - between * within factor interactions

2000-05-09 Thread Bruce Weaver

On Tue, 9 May 2000, Johannes Hartig wrote:

 I have tried modifying the syntax, but I'm not getting any further.
 The within- and between-subject effects are defined seperately
 in /WSDESIGN and /DESIGN, and mixing them only gives me
 cryptic error messages. Could it be possible to customize within *
 between interactions with /LMATRIX or /KMATRIX? I am
 checking already the syntax guide, but no success so far :(
 Thanks for any advice,
 Johannes
 

How about generating your own dummy variables for the various main
effects and interactions of interest (including dummy variables for
subject), and using REGRESSION instead of GLM repeated measures?  You can
use the /TEST subcommand to compare the full model to various reduced
models to produce tests for the main effects and interactions of
interest.  For a between-within design, subject will be nested in the
between subjects variables, so I think you'll have to enter those
between subjects variables on one step, and the dummy variables for
subject on the next step.  (If you enter the dummy variables for subject
first, you won't be able to enter the between Ss variables, because
they'll provide no further information.  It would be like entering codes
for City, and then trying to enter codes for country:  Once you know the
city, you already know country.)

Good luck.
Bruce



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Re: SPSS GLM - between * within factor interactions

2000-05-09 Thread Paul R Swank

You could also try SAS.


At 02:14 PM 5/9/00 -0400, you wrote:
On Tue, 9 May 2000, Johannes Hartig wrote:

 I have tried modifying the syntax, but I'm not getting any further.
 The within- and between-subject effects are defined seperately
 in /WSDESIGN and /DESIGN, and mixing them only gives me
 cryptic error messages. Could it be possible to customize within *
 between interactions with /LMATRIX or /KMATRIX? I am
 checking already the syntax guide, but no success so far :(
 Thanks for any advice,
 Johannes
 

How about generating your own dummy variables for the various main
effects and interactions of interest (including dummy variables for
subject), and using REGRESSION instead of GLM repeated measures?  You can
use the /TEST subcommand to compare the full model to various reduced
models to produce tests for the main effects and interactions of
interest.  For a between-within design, subject will be nested in the
between subjects variables, so I think you'll have to enter those
between subjects variables on one step, and the dummy variables for
subject on the next step.  (If you enter the dummy variables for subject
first, you won't be able to enter the between Ss variables, because
they'll provide no further information.  It would be like entering codes
for City, and then trying to enter codes for country:  Once you know the
city, you already know country.)

Good luck.
Bruce



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Paul R. Swank, PhD.
Professor  Advanced Quantitative Methodologist
UT-Houston School of Nursing
Center for Nursing Research
Phone (713)500-2031
Fax (713) 500-2033


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SPSS GLM - between * within factor interactions

2000-05-08 Thread Johannes Hartig

Hi group,
I've posted this problem a while ago without getting an answer, and I
still didn't find out myself,
so here is another try:
(I'm working with SPSS 9.0)
When I do a GLM-repeated measures analysis, in SPSSI get tests for all
interactions bewteen every within-and every between-subject factor.
Supposed I don't want to include all these interactions in my model,
e.g. the interaction between a covariate and a within-subject
factor: Is there a way to adjust my model not to include this effect?
(Syntax welcome!)
Or, if this is not possible (I vaguely remember MANOVA in former
versions did not test these interactions as default), is there a good
statistical reason to test all possible within*between-interactions?
Any help is appreciated,
Johannes Hartig



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Re: SPSS GLM - between * within factor interactions

2000-05-08 Thread Bruce Weaver

On Mon, 8 May 2000, Johannes Hartig wrote:

  Click on the Model box in the pull-down menu.  The default model
  is the full-factorial, but you can opt for other custom models with only
  the effects you are interested in.
 
 Thnks for your answer, but - I can't! - or am I missing something obviuos?
 I only can customize within- and between-factor effects seperately, _not_
 interactions between both. WHY?
 
 Johannes
 


Sorry Johannes, I didn't know that.  I wonder if this is a peculiarity of
using the GUI.  Have you tried pasting the syntax, and then modifying it
to include only the interactions of interest?  It probably won't work 
that way either, but it's worth a try.  

Bruce



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Fitting of distribution (Package SPSS 7.5)

2000-04-25 Thread Rajiv Pandey

Dear all
Hi
I am seeking your suggestion to fit statistical distributions (Normal,
Beta,Weibull etc.) with SPSS Ver. 7.5 for the diameter of a tree stand
in a forest.
Thanks in advance.

Rajiv Pandey






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Help with SPSS question

2000-03-14 Thread Julian Holloway

1. Figures given in the UK Department of Education and Science publication
Statistics of Education 1980. They  classify a sample of 749 students
leaving school in England in 1979-80 by sex and by achievement in public
examinations in two subjects, Mathematics and French. At that time there
were two separate examinations taken at about age 16, the CSE and the
O-level. O-levels were considered more challenging and more academic than
CSEs, but a grade 1 pass at CSE was considered equivalent to a pass at
O-level. The four categories of achievement for each subject are as follows.
? (a) Did not attempt CSE or O-level.
? (b) Attempted CSE/O-level but did not pass.
? (c) Passed CSE at grades 2-5 or O-level at grades D-E.
? (d) Passed CSE at grade 1 or O-level at grades A-C.
Is there a relationship between sex and achievement in either of the two
subjects? What specific inferences can you make? (e.g. are males more likely
to pass than females in mathematics?).
I have tested to see if the data is normal, this seems to be the case.
Should I be using crosstabs?
Should I recode the data to combine subject with acheivement?
I have attached the raw data below, can anyone help?
Cheers
Julian

82.00 mathematics male  (a)
13.00 mathematics male  ( b)
176.00 mathematics   male  (c)
112.00 mathematics   male  (d)
74.00 mathematics female(a)
23.00 mathematics female(b)
184.00 mathematics   female(c)
85.00 mathematics female(d)
289.00 frenchmale   (a)
10.00   frenchmale   (b)
44.00   french male  (c)
40.00   frenchmale   (d)
221.00 french  female   (a)
8.00 french female(b)
74.00   french  female   (c)
63.00   french   female  (d)









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Re: Help with SPSS question

2000-03-14 Thread Greg Ball

Hi Julian,

I have had a quick look at your data set. I decided the achievement
categories were ordinal and numbered them 1 to 4. I looked at scattergraphs
of grade versus frequency grouped by gender and also grouped by subject.
There didn't seem to be a lot of gender difference apart from those not
attempting French. There were more subject differences - a lot did not
attempt French, maths did better than French in grades c and d.

I did a chi^2 test for gender differences in the grades. It was significant
at 0.1 but not at 0.05. The subject difference in the grades was much more
significant. For these I used a 4 by 2 table adding the appropriate
frequencies for each cell.
 Looking at your question I see you asked for gender difference in grades
for the subjects separately. I combined the two. It would be easy to do them
separately.

I hope this helps.

Greg
Julian Holloway wrote in message 8alcdd$rsa$[EMAIL PROTECTED]...
1. Figures given in the UK Department of Education and Science publication
Statistics of Education 1980. They  classify a sample of 749 students
leaving school in England in 1979-80 by sex and by achievement in public
examinations in two subjects, Mathematics and French. At that time there
were two separate examinations taken at about age 16, the CSE and the
O-level. O-levels were considered more challenging and more academic than
CSEs, but a grade 1 pass at CSE was considered equivalent to a pass at
O-level. The four categories of achievement for each subject are as
follows.
? (a) Did not attempt CSE or O-level.
? (b) Attempted CSE/O-level but did not pass.
? (c) Passed CSE at grades 2-5 or O-level at grades D-E.
? (d) Passed CSE at grade 1 or O-level at grades A-C.
Is there a relationship between sex and achievement in either of the two
subjects? What specific inferences can you make? (e.g. are males more
likely
to pass than females in mathematics?).
I have tested to see if the data is normal, this seems to be the case.
Should I be using crosstabs?
Should I recode the data to combine subject with acheivement?
I have attached the raw data below, can anyone help?
Cheers
Julian

82.00 mathematics male  (a)
13.00 mathematics male  ( b)
176.00 mathematics   male  (c)
112.00 mathematics   male  (d)
74.00 mathematics female(a)
23.00 mathematics female(b)
184.00 mathematics   female(c)
85.00 mathematics female(d)
289.00 frenchmale   (a)
10.00   frenchmale   (b)
44.00   french male  (c)
40.00   frenchmale   (d)
221.00 french  female   (a)
8.00 french female(b)
74.00   french  female   (c)
63.00   french   female  (d)











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SPSS SigmaStat 2.0 for Win9x/NT $419

2000-03-08 Thread Genacad

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Re: Bug in SPSS or SYSTAT regression ?

2000-02-25 Thread G. Anthony Reina

[EMAIL PROTECTED] wrote:

 I have found a difference between the results produced by SPSS and
 SYSTAT in linear regression with no constant term. Below are the
 results from the programs.  As you can see the adjusted R2 given by the
 2 programs is different.  Which one is correct?


Quoting from the SysStat FAQ,

  (1) In the presence of a constant, R^2 measures variation around the
 mean of the dependent variable which is explained by the variation
around
 the mean of the independent variables.

 (2) Without a constant, R^2 measures variation around zero of
the
 dependent variable which is explained by the variation around zero of
the
 independent variables.

I found the following in "Applied Linear Statistical Models" 4th ed by
Neter, Kutner, Nachtscheim, and Wasserman
(Irwin publishing, 1996) p. 163:

" 3. Some statistical packages calculate r^2 for regression through the
origin to (2.72) and hence will sometimes show a negative value for r^2.
Other statistical packages calculate r^2 using the total uncorrected sum
of squares SSTOU in (2.54). This procedure avoids obtaining a negative
coefficient but lacks any meaningful interpretation."

So in essense, calculating R^2 and the F-statistic for model not
containing a y-intercept is dangerous. For the un-experienced user, the
meaning is easily misinterpreted. It appears as if the statisticians are
telling us that there is no proper way or best way to calculate these
values.


Hope that helps.
-Tony




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Re: Bug in SPSS or SYSTAT regression ?

2000-02-24 Thread Rich Ulrich

On Thu, 24 Feb 2000 12:45:29 GMT, [EMAIL PROTECTED] wrote:

 I have found a difference between the results produced by SPSS and
 SYSTAT in linear regression with no constant term. Below are the
 results from the programs.  As you can see the adjusted R2 given by the
 2 programs is different.  Which one is correct?
  snip, data   
 Linear regression Y on X with no constant term.
 
 SYSTAT:
 R2 = 0.999365492
 adj R2 = 0.999365492
 
 SPSS:
 R2 = 0.9993654922987
 adj R2 = 0.9993020415285

You may note: 

 a) SYSTAT shows the same number twice: that is, there is no
suggestion of "adjustment".
 b) This is regression "with no constant term."  Okay, that is the
*abnormal*  way to do regression, which sacrifices (for one thing) the
ease of referring to R-squared.  Are you talking about accounting for
the SS around the MEAN, or around ZERO?   
 c) I prefer to continue talking about SS around the MEAN, and if you
did that, then you *might* continue ( - but, no assurances) to use the
ordinary 'shrinkage' formula to get an "adj R2".
 d) When you have those values of .999+, as above, the easy way to get
them (with all-positive numbers) is to have the SS around ZERO.I
*assume*  that the usual shrinkage formula has to be modified, if
anyone has come up with a formula at all.

Thus, I conclude that SYSTAT decided not to provide an adjusted R2,
possibly because there is nothing reliable or conventional in the
literature.

SPSS probably provided one, if their distinction is not round-off
error.  I would want to check their references before I trusted in
reporting it;  but I am concerned, that almost no one uses that
computation (through the origin/ SS around zero), and that was not
emphasized in the question.   If using that if it is not a convention,
already, in your area of specialty, then you have enough troubles
explaining why you used that regression ... without getting into the
details of *that*  adjusted R-squared.

-- 
Rich Ulrich, [EMAIL PROTECTED]
http://www.pitt.edu/~wpilib/index.html


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Bug in SPSS or SYSTAT regression ?

2000-02-24 Thread lg106

I have found a difference between the results produced by SPSS and
SYSTAT in linear regression with no constant term. Below are the
results from the programs.  As you can see the adjusted R2 given by the
2 programs is different.  Which one is correct?

Data (from NIST line origin dataset):
Y X
130   60
131   61
132   62
133   63
134   64
135   65
136   66
137   67
138   68
139   69
140   70

Linear regression Y on X with no constant term.

SYSTAT:
R2 = 0.999365492
adj R2 = 0.999365492

SPSS:
R2 = 0.9993654922987
adj R2 = 0.9993020415285

I would appreciate some help.

Many thanks,
Dr L Green.


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Re: Bug in SPSS or SYSTAT regression ?

2000-02-24 Thread Bob Parks


The multiple correlation between X and Y does not depend on if there
is a constant term in the regression or not. The residual sum of
squares does. R2 is simply 1.0.

Basically, the answer is: both are quite incorrect, or: only two decimals
are correct.

Although I hate to pretend to correct Jan in anyway, I will:

YEP both are incorrect but the correlation squared between X and Y
is not necessarily the answer one wants for R2, is it?

There are two interpretations for R2 -
1. The correlation squared between the predicted and actual;
2. The percentage explained variance.

With a constant term in least squares the two are identical.

Without a constant term the two can and in this case do differ.

The correlation between the actual and fitted values of
regressing Y on X is 1.0, so an answer to 1.
produces the same answer as the correlation between Y and X.

But the residuals are not identically 0  so one might not like
to argue that R2 should be 1. since one would expect
(at least I would) that the residuals should be 0 for R2 = 1.000
(up to numerical accuracy anyway).

The residuals are:

 5.537190
 4.462810
 3.388430
 2.314050
 1.239669
 0.165289
-0.909091
-1.983471
-3.057851
-4.132231
-5.206612

with a mean of .165289.

The problem, without the constant term, is that the decomposition
of sums of squares is not the usual ssqc(Y) = ssqc(X) + ssq(res)
(ssqc = sum of corrected squares) from which most programmers
make their calculation of R2 (many packages will report
R2 = -0.157025 in this particular case).

We are left with a lot of different answers

R2 = ssqc(X)/ssqc(Y) = 1.0 (because this is the correlation between Y 
and X)
   = ssq (X)/ssq (Y) = .232246
   = 1 - (ssqc(res)/ssqc(Y)) = -.154293
   = 1 - (ssq (res)/ssq (Y)) = .999365  which is what SYSTAT and SPSS report

(assuming that I did my calculations correctly)
Maybe some others on the list can point to theoretical pieces on R2
of which I am unaware to single out one of these.  I tend to like
the second one.

In the end, IMHO, NEVER do regression without a constant term.

Bob


At 12:45 PM + 2/24/00, [EMAIL PROTECTED] wrote:
I have found a difference between the results produced by SPSS and
SYSTAT in linear regression with no constant term. Below are the
results from the programs.  As you can see the adjusted R2 given by the
2 programs is different.  Which one is correct?

Data (from NIST line origin dataset):
Y X
130   60
131   61
132   62
133   63
134   64
135   65
136   66
137   67
138   68
139   69
140   70

Linear regression Y on X with no constant term.

SYSTAT:
R2 = 0.999365492
adj R2 = 0.999365492

SPSS:
R2 = 0.9993654922987
adj R2 = 0.9993020415285

I would appreciate some help.

Many thanks,
Dr L Green.


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Before you buy.


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Jan de Leeuw; Professor and Chair, UCLA Department of Statistics;
US mail: 8142 Math Sciences Bldg, Box 951554, Los Angeles, CA 90095-1554
phone (310)-825-9550;  fax (310)-206-5658;  email: [EMAIL PROTECTED]
http://www.stat.ucla.edu/~deleeuw and http://home1.gte.net/datamine/

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Re: SPSS lab guide for mulitvariate stats.

2000-02-11 Thread Claire Durand


As a lab guide, SPSS for Windows Step by step is very good (authors: George
and Mallery, publisher : Allyn and Bacon). There is also a very good book
for psychologists: Tabachnick and Fidell, Using multivariate statistics.
The only problem is that it does not have cluster analysis.





At 14:29 2000-02-11 -0500, Paul W. Jeffries wrote:
I am looking for a lab guide to teach SPSS mulitivariate stats.  This book
is for psychology graduate students.  Ideally, the book would have data
sets and exercises that cover multiple regression and correlation,
factorial analysis, cluster analysis, and discriminant analysis.  Can
anyone recommend a book?

Apologies for cross posting.

Paul W. Jeffries
Department of Psychology
SUNY--Stony Brook
Stony Brook NY 11794-2500



Claire Durand,
departement de sociologie,
Université de Montréal

[EMAIL PROTECTED]
http://alize.ere.umontreal.ca/~durandc/
tel: (514)343-7447
fax: (514)343-5722

"A 50% ± 3%, il fera beau demain"






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help junior spss user

2000-02-10 Thread Alice Kwan

Dear all,

I would like to know which statistical method should I use for my
research with SPSS.

My research aims at examining the causal relationship of sport training
program to academic results.
Thus, I collected the academic results before and after the training
program from sport participants and also the non-sport participants as
the control group.
Besides, as I want to know how the training program affects the
academics, I also collected the pretest and posttest data of self-esteem

and motivation from both experimental and control groups. Thus, I can
examine the relationship between self-esteem, motivation and sports.

Can anyone help me to solve this big problem for a junior SPSS user?
Thanks.

Alice





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Re: repeated measures ANOVA + SPSS

2000-01-14 Thread Leif Saager

Hi, aber ich glaub ich antworte mal auf deutsch.

Mein Vorschlag zur Lösung deines Problems, so ich es richtig verstanden habe
würde so aussehen:

20 Patienten
1 Variable (Herzfrequenz, hf)
10 Meßzeitpunkte (m1-m10)

unter GLM mit Meßwiederholung als Innersubjektfaktor (is doch echt ein
klasse Name:) ) einen Namen
wie zB hf und als Anzahl der Stufen 10 angeben und "Hinzufügen".
In der folgenden Dialogbox als Innersubjektvariablen die m1 bis m10 für die
hf hinzufügen.

So könnte man einen weiteren Wert (RR sys ) und dessen Meßwiederholung auch
noch definieren.

Zwischensubjektfaktoren wären z.B. Alter oder Geschlecht, sofern für die
Fragestellung relevant.

Kovariaten wären bei Ausgangslagenunterschieden anzugeben.

soweit also alles wie Du vorgesehen hast, nun aber die schlechte Nachricht,
post-hoc Tests sind in SPSS nur für
Designs ohne Meßwiederholung implementiert. Bei Signifikanzen in dieser
Analyse bleibt nur der paired t-test.

Ich hoffe für die schnelle ist Dir geholfen.

Viele Grüße aus Lübeck
Leif


Ole Breithardt schrieb:

 Hi to all the experts,
 I measured a few Variable in let´s say 20 Patients under 10 different
 conditions, f.e.heart rate at 10 different exercise levels.
 1.) To compare the results I understood that I have to use a repeated
 measures ANOVA, am I correct?
 2.) If I want to use SPSS, where do I find that test? If I understood
 the Online-Help correctly then I should use "GLM-Messwiederholungen"
 (sorry for the German version, in English that would probably be
 something like "GLM-repeated Measures"??)
 3.) Great! ? Here I have to define several things, that I do not really
 understand - o.k. let´s try: I give the "Innersubjectfactor" (that´s how
 it sounds in German") a name and tell SPSS how many repeated measures I
 performed.is that correct ?? 
 4.) If I go on, on the next screen I have to define the different
 measurment/variables - however if I leave the two boxes below ("between
 subject factors" and "covariates") open, then SPSS won´t let me define
 any post-hoc-test , why not??? I understood that "between subject
 factors" has something to do with f.e. male and female ?? So, do I
 really have to define that or can I leave it open??

 Any comments or help is very appreciated!!!
 Thank you for your patience
 ;-)) Ole

 --
 
 Dr. Ole-A. Breithardt
 Medizinische Klinik I - Kardiologie
 Klinikum der RWTH Aachen
 Pauwelsstr. 30
 D-52057 Aachen

 Tel.: +49-241-8089659 (Med. Klinik I, Echo)
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