A textbook that might be very useful as a comprehensive review of
nonparametric is Siegel's:

https://www.amazon.com/Nonparametric-Statistics-Behavioral-Sciences-Sidney/dp/0070573573

I like this text because in a  very intuitive way describes the foundations
and procedures for the techniques.

Concerning CROSSTABS, the phi or tetrachoric coefficient for a 2x2 crosstab
is a particular case of Pearson correlation when the two variables are
dichotomic.

As we know, in general, CROSSTABS for nxm dimension tables, Chi-square
statistics is used and for tables with spare data, Fisher exact test:

https://mathworld.wolfram.com/FishersExactTest.html

Basically, the story for small samples would lay on combinatorial
procedures to generate ad hoc empirical distributions.

Alex

On 12/26/2020 2:57 PM, Alan Mead wrote:
My understanding was that Spearman's Rho is simply Pearson's r calculated
on ranked data. If so, you can interpret them identically (other than the
effect of ranking, which may be substantial), including using the same
hypothesis test.
Isn't it a bug if there is a space for p-value and it's blank?
If you're saying that PSPP censors the p-value for small samples, that
seems like the main use-case for using p-values. I just checked and the
introductory stats book I taught from (Howell's undergraduate "Fundamental
Statistics for the Behavioral Sciences") only has a couple pages on
Spearman's Rho, but confirms the above and doesn't say anything about the
hypothesis test being "wildly inaccurate" for small samples? I mean, all
estimates from small samples are "wildly inaccurate," right?


-Alan


El sáb, 26 dic 2020 a las 14:57, Alan Mead (<ame...@alanmead.org>) escribió:

> John,
>
> My understanding was that Spearman's Rho is simply Pearson's r calculated
> on ranked data. If so, you can interpret them identically (other than the
> effect of ranking, which may be substantial), including using the same
> hypothesis test.
>
> Isn't it a bug if there is a space for p-value and it's blank?
>
> If you're saying that PSPP censors the p-value for small samples, that
> seems like the main use-case for using p-values. I just checked and the
> introductory stats book I taught from (Howell's undergraduate "Fundamental
> Statistics for the Behavioral Sciences") only has a couple pages on
> Spearman's Rho, but confirms the above and doesn't say anything about the
> hypothesis test being "wildly inaccurate" for small samples? I mean, all
> estimates from small samples are "wildly inaccurate," right?
>
> -Alan
>
>
> On 12/26/2020 6:22 AM, John Darrington wrote:
>
> It N is large the significance of Spearman's Rho can be estimated using the
> T statistic.   This is what SPSS does in its NPAR TEST CORR command.  However
> it is wildly inaccurate for small values of N and SPSS has taken a lot of
> criticism for it.
>
> J'
>
> On Sat, Dec 26, 2020 at 12:45:26PM +0530, Ramagokula Krishnan wrote:
>      Hi,
>
>      Hope you are safe and well. First of all, thanks for making this 
> software a
>      reality. Many of my students in India are benefiting from this.
>
>      This is a small query I have with regard to Spearman's Rank Correlation
>      using ordinal variables. There is an option to perform the test under the
>      crosstab option which is great. However, the p value (significance) is 
> not
>      shown in the output.
>
>      I've attached a screenshot of the output. Please have a look at the 
> bottom
>      most table which has the correlation values but the significance has not
>      been mentioned.
>
>      It would be great if there was a workaround through which I could 
> estimate
>      the p value as well.
>
>      Thank you in advance
>      Dr. S. Rama Gokula Krishnan
>
>
>
>
>
> --
>
> Alan D. Mead, Ph.D.
> President, Talent Algorithms Inc.
>
> science + technology = better workers
> http://www.alanmead.org
>
> The irony of this ... is that the Internet is
> both almost-infinitely expandable, while at the
> same time constrained within its own pre-defined
> box. And if that makes no sense to you, just
> reflect on the existence of Facebook. We have
> the vastness of the internet and yet billions
> of people decided to spend most of them time
> within a horribly designed, fake-news emporium
> of a website that sucks every possible piece of
> personal information out of you so it can sell it
> to others. And they see nothing wrong with that.
>
> -- Kieren McCarthy, commenting on why we are not
>                     all using IPv6
>
>

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