http://spssx-discussion.165.s1.nabble.com/Correlation-between-ordinal-data-tp5725627p5725632.html
I'm pretty sure that I would stick with the plain, old Pearson r.
Spearman is much better suited to continuous data: Is there
really any improvement in anything by transforming (1,2,3) into
the "average rank" observed with massive numbers of ties? Of
course, if you ask for a Monte Carlo evaluation, you do get an
"exact" test. Otherwise, the tests on Spearman are only as good
as the adjustment-in-error made for ties (which is not always so
good).
My impression of the tetrachoric and polychoric correlations is
that they have a role where theorists are paying close attention to
using r as a precise measure of the "underlying relationships". The
price of this gain is that you don't have any decent tests... and you
probably mislead your readership, who fail to note that these numbers
are inflated, compared to the r's that they are familiar with for similar
situations.
--
Rich Ulrich
Date: Wed, 23 Apr 2014 10:10:32 -0500
From:
[hidden email]Subject: Re: Correlation between ordinal data
To:
[hidden email]Maybe you can find useful the polychoric correlation:
Regards!!