Hi Lee,
If you go to my web page for Latent Trait and Item Response Theory (IRT)
Models,
http://ourworld.compuserve.com/homepages/jsuebersax/lta.htm
(please let me know if this link doesn't work)
that will point to several other pages that might help.
> Then the IRT curve that I am loo
Visit this site and I GUARANTEE your weekends will never be the same again. The
information
on this site must be read over twice, because the first time you read it, you simply
will
not believe
it!
Now - don't read another e-mail until you have visited:
http://www.lazyincome.co.uk
***
I am uncertain about the solution to the problem for which I am trying to
solve. I am hoping that someone might help guide me to the correct
solution.
I have a discrete distribution (say 100) with a dichotomous population
(either good or bad). There is no knowledge of the population split until
[EMAIL PROTECTED] wrote:
>
>
> More importantly, I would say: DON'T DO TESTS. Instead, try to find
> models that you would be prepared to use to predict the response
> in as-yet untried circumstances.
> --
Hypothesis testing is simply one useful method of identifying 'models
that you would be
[EMAIL PROTECTED] (Radford Neal) wrote:
>[ snip, baseball game; etc. ]
>> In this context, all that matters is that there is a difference. As
>> explained in many previous posts by myself and others, it is NOT
>> appropriate in this context to do a significance test, and ignore the
>> differen
On 13 Mar 2001 21:18:38 GMT, [EMAIL PROTECTED] () wrote:
>In article <[EMAIL PROTECTED]>,
> RD <[EMAIL PROTECTED]> writes:
>>On 13 Mar 2001 07:12:33 -0800, [EMAIL PROTECTED] (dennis roberts) wrote:
>>
>>>1. some test statistics are naturally (the way they work anyway) ONE sided
>>>with res
[EMAIL PROTECTED] (Radford Neal) wrote:
>[ snip, baseball game; etc. ]
>> In this context, all that matters is that there is a difference. As
>> explained in many previous posts by myself and others, it is NOT
>> appropriate in this context to do a significance test, and ignore the
>> differenc
Mr. Ulrich'a comments are even more Landgrebian than his
previous ones.
For those who don't recall, Earl
Landgrebe was a Republican congressman from
Indiana in 1974. A self made man who
ran a trucking company, Landgrebe
sided strongly, if inarticulately, with Richard
Nixon during the Watergate
Thom,
This is a reasonable question to ask.
Thom:
In the original thread, I referred to
the utility function relating citations to quality, etc,
and I'm aware of numerous difficult issues regarding
the evaluation of this information. My comments, as
I indicated, were addressed primarily to the
Actually, in practice, the decisions are seldom made
on the basis of rational evaluation of data. They
are usually made on the basis of political pressure,
with thin, and obviously invalid, pseudo-rationalizations
on the basis of data that, on close examination, have
little or no necessary relatio
On Fri, 09 Mar 2001 15:53:12 +, Thom Baguley
<[EMAIL PROTECTED]> wrote:
>Irving Scheffe wrote:
>> Imagine it is 1961. Our question is, which outfield has better
>> home run hitters, the Yankees or Detroit? Here are the numbers
>> for the Yankee and Tiger starting Outfields.
>>
>> Y
Responses to various folks. And to everyone touchy about one-tailed
tests, let me make it quite clear that I am only promoting them as a
way of making a sensible statement about probability. A two-tailed p
value has no real meaning, because no real effects are ever null. A
one-tailed p valu
In article <[EMAIL PROTECTED]>,
RD <[EMAIL PROTECTED]> writes:
>On 13 Mar 2001 07:12:33 -0800, [EMAIL PROTECTED] (dennis roberts) wrote:
>
>>1. some test statistics are naturally (the way they work anyway) ONE sided
>>with respect to retain/reject decisions
>>
>>example: chi square test f
In article <[EMAIL PROTECTED]>,
RD <[EMAIL PROTECTED]> wrote:
>On 13 Mar 2001 07:12:33 -0800, [EMAIL PROTECTED] (dennis roberts) wrote:
>>1. some test statistics are naturally (the way they work anyway) ONE sided
>>with respect to retain/reject decisions
>>example: chi square test for independ
well, help me out a bit
i give a survey and ... have categorized respondents into male and females
... and also into science major and non science majors ... and find a data
table like:
MTB > chisquare c1 c2
Chi-Square Test: C1, C2
Expected counts are printed below observed counts
have a look at
http://members.aol.com/johnp71/javastat.html
i think the answer is yes
At 06:00 PM 3/13/01 +, Paolo Covelli wrote:
>Is JAVA suitable to develop programs of statistic or a more specific
>language exists?
>
>Paolo
>
>
>
>
>===
On 13 Mar 2001 07:12:33 -0800, [EMAIL PROTECTED] (dennis roberts) wrote:
>1. some test statistics are naturally (the way they work anyway) ONE sided
>with respect to retain/reject decisions
>
>example: chi square test for independence ... we reject ONLY when chi
>square is LARGER than some CV .
Is JAVA suitable to develop programs of statistic or a more specific
language exists?
Paolo
=
Instructions for joining and leaving this list and remarks about
the problem of INAPPROPRIATE MESSAGES are available at
in a general case like this ... where the plaintiff has to show proof of
discrimination ... the burden is especially difficult
there are some preliminaries of course ...
if the women make more than the males ... then we would agree it would be
"hard" to argue sex discrimination in terms of s
On 12 Mar 2001 14:25:41 GMT, [EMAIL PROTECTED] (Radford Neal)
wrote:
[ snip, baseball game; etc. ]
> In this context, all that matters is that there is a difference. As
> explained in many previous posts by myself and others, it is NOT
> appropriate in this context to do a significance test, an
Will Hopkins wrote:
>
> At 7:34 PM + 12/3/01, Jerry Dallal wrote:
> >Don't do one-tailed tests.
>
> If you are going to do any tests, it makes more sense to one-tailed
> tests.
If you're doing a 1 tailed test, why test at all? Just switch from
standard treatment to the new one. Can't do
In article ,
Will Hopkins <[EMAIL PROTECTED]> wrote:
>At 7:34 PM + 12/3/01, Jerry Dallal wrote:
>>Don't do one-tailed tests.
>If you are going to do any tests, it makes more sense to one-tailed
>tests. The resulting p value actually means something th
dennis roberts wrote:
>
> we have to first separate out 2 things:
>
> 1. some test statistics are naturally (the way they work anyway) ONE sided
> with respect to retain/reject decisions
>
> example: chi square test for independence ... we reject ONLY when chi
> square is LARGER than some CV
I use Bilog from SSI. Bilog can handle 1, 2, and 3-parameter model. I am
not sure if it can accept 89 obs. Bilog has a Windows version. You
can assemble the program by selecting options from the pull down menu.
the "lode" of all lists
http://members.aol.com/johnp71/javastat.html
===
http://www.kuleuven.ac.be/ucs/java/
http://www.stat.vt.edu/~sundar/java/applets/
http://www.ruf.rice.edu/~lane/stat_sim/index.html
http://ebook.stat.ucla.edu/calculators/
__
these are coming in fast and furious this morning ... perhaps a more
summary listing in one place would be helpful ... here is what i have seen
so far ... i am sure there are more
http://www.kuleuven.ac.be/ucs/java/
http://www.stat.vt.edu/~sundar/java/applets/
http://www.ruf.rice.edu/~lane/st
we have to first separate out 2 things:
1. some test statistics are naturally (the way they work anyway) ONE sided
with respect to retain/reject decisions
example: chi square test for independence ... we reject ONLY when chi
square is LARGER than some CV ... to put a CV at the lower end of the
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