Re: Significance testing of Dependent proportions

On 16 Sep 2005 04:47:23 -0700, "Hari" <excel_hari@xxxxxxxxx> wrote:

> Hi Bruce,
>
> Let me take the data from the link you provided me long ago when I
> wanted to do significance testing of Independent proportions (
> http://www.gseis.ucla.edu/courses/ed230a2/notes3/portion.html )
>
> Group n Frequency p
> Group1 261 127 0.487
> Group2 160 65 0.400
>
> My doubt is, if I want to do significance testing on the above data and
> if I know that Group1 and Group2 are NOT independent then how do I go
> about it?
>
> Please guide me.
>
> Regards,
> Hari
> India
>
> >Are you asking how to partition the overall (goodness of fit) chi-square into orthogonal components?
> Frankly speaking, it has gone above my head.

I'm with Bruce, in being at a loss.
The earlier description sounds like "partitioning".

The use of the term "dependent proportions" has come
to mean, Paired data. That's why I suggested McNemar's.

Some other answer is going to depend on what is meant
by "not independent."

The other version of "dependency" that occurs to me,
is that there might be another categorization that can be
applied. In that case, the log-linear analysis of the 3-way
table might be the answer.

--
Rich Ulrich, wpilib@xxxxxxxx
http://www.pitt.edu/~wpilib/index.html
.

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