New FlowChart in website - opinions requested

[Marta Garcia-Granero]

Hi everybody

There is a new version of the statistics methods flowchart available at
http://gjyp.nl/marta/NewFlowChart.pdf (the web page has not been
updated, you need this "hidden" link to get the file). I'm not
absolutely sure whether I'll keep this changes or not (the whole
flowchart looks a bit messy with too many questions and options, the
font is now smaller to accommodate more text boxes in one sheet...).,
and I would like your opinion.

Changes:

1) A new question ("Randomness") has been added, with a new answer: Runs
test
2) More detail has been added to the "Spread" branch, with one sample
variance chi-square test added to the collection of tests.
3) Rwg index has been added to the panoply of "Agreement" methods.

Waiting for your suggestions.
Marta GG

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[Maguin, Eugene]

All,

I have some ordinal variables that I want check for association. I have the
correlations which is a measure of association given linearity. Now I'm
looking for a ordinal level statistic. The crosstabulation is size 3x3 or
4x4. I have used eta in the past but I'm wondering if there is a better
measures. I want the ordinal statistic to have a -1 to +1 range; although
everything will be in the 0-1 range, and the correlation should match the
ordinal statistic value given perfect linearity (this seems reasonable to
me). Eta assumes directionality. I don't necessarily have a direction in
mind so a nondirectional statistic would be preferred.

So, is there something better than eta?

Thanks, Gene

PS. Marta, I looked at your new chart before I posted this question and I
wonder what the ordinal statistics list would be on your chart. Also, I saw
your new postings and I haven't got to them yet. But very soon.

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[Arthur Burke]

Gene ... See Agresti, especially Categorical Data Analysis and Intro to
CDA.  Note that he is revising Analysis of Ordinal Categorical Data.

http://www.stat.ufl.edu/~aa/

Art

-----Original Message-----
From: Gene Maguin [mailto:[hidden email]]
Sent: Monday, July 27, 2009 11:41 AM
To: [hidden email]
Subject: Association measure ordinal variables

All,

I have some ordinal variables that I want check for association. I have
the correlations which is a measure of association given linearity. Now
I'm looking for a ordinal level statistic. The crosstabulation is size
3x3 or 4x4. I have used eta in the past but I'm wondering if there is a
better measures. I want the ordinal statistic to have a -1 to +1 range;
although everything will be in the 0-1 range, and the correlation should
match the ordinal statistic value given perfect linearity (this seems
reasonable to me). Eta assumes directionality. I don't necessarily have
a direction in mind so a nondirectional statistic would be preferred.

So, is there something better than eta?

Thanks, Gene

PS. Marta, I looked at your new chart before I posted this question and
I wonder what the ordinal statistics list would be on your chart. Also,
I saw your new postings and I haven't got to them yet. But very soon.

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[Gerard M. Keogh]

Or try a proportional odds model - Nelder & McCullogh Ch5.
I think SPSS has this in the add-on, but if not "R" has - method  is "polr"

Gerard



             Arthur Burke
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             Please respond to
               Arthur Burke
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Gene ... See Agresti, especially Categorical Data Analysis and Intro to
CDA.  Note that he is revising Analysis of Ordinal Categorical Data.

http://www.stat.ufl.edu/~aa/

Art

-----Original Message-----
From: Gene Maguin [mailto:[hidden email]]
Sent: Monday, July 27, 2009 11:41 AM
To: [hidden email]
Subject: Association measure ordinal variables

All,

I have some ordinal variables that I want check for association. I have
the correlations which is a measure of association given linearity. Now
I'm looking for a ordinal level statistic. The crosstabulation is size
3x3 or 4x4. I have used eta in the past but I'm wondering if there is a
better measures. I want the ordinal statistic to have a -1 to +1 range;
although everything will be in the 0-1 range, and the correlation should
match the ordinal statistic value given perfect linearity (this seems
reasonable to me). Eta assumes directionality. I don't necessarily have
a direction in mind so a nondirectional statistic would be preferred.

So, is there something better than eta?

Thanks, Gene

PS. Marta, I looked at your new chart before I posted this question and
I wonder what the ordinal statistics list would be on your chart. Also,
I saw your new postings and I haven't got to them yet. But very soon.

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