Re: Fisher-Freeman-Halton Exact Test or Jonckheere–Terpstra test - which is the most appropriate?

Posted by Raimundas Vaitkevičius on Feb 15, 2016; 4:19pm
URL: http://spssx-discussion.165.s1.nabble.com/Fisher-Freeman-Halton-Exact-Test-or-Jonckheere-Terpstra-test-which-is-the-most-appropriate-tp5731524p5731526.html

Hi, Dean,

as far as I know, Jonckheere–Terpstra test doesn't require any causal
relationship.

By the way, why don't you want to use some rank correlation coefficient?

Raimundas Vaitkevičius
Vytautas Magnus University, statistician


On Mon, Feb 15, 2016 at 8:50 AM, DP_Sydney <[hidden email]> wrote:

> Hi,
>
> *Analysis question*: I am seeking to determine whether there is a
> relationship between the extent of pigment in tail feathers of a particular
> bird species and the extent of pigment on 1) the foreneck (5 x 5 table, n =
> 40) and 2) the wings (4 x 5 table, n = 80). Pigment was scored on an ordinal
> scale from least to most pigment for each body region (5 levels for tail and
> foreneck, 4 levels for wing). Because of the small sample size. A chi-square
> contingency table is inappropriate because of the high proportion of
> expected values <5.
>
> *Option 1 - Fisher-Freeman-Halton Exact Test*: Both contingency tables have
> a high number of zero cells: 12 in the 5 x 5 table, 6 in the 4 x 5 table.
> /Is this a problem for this test?/
>
> *Option 2 - Jonckheere–Terpstra test*: At first glance, this test is
> appropriate since both my variables are ordinal variables and I expect a
> positive relationship (i.e. birds with more pigment on the tail are
> predicted to have more pigment on the foreneck or wing). However, I am not
> postulating a causal relationship between variables (i.e. pigment on tail vs
> pigment on foreneck/wing). /Is this test appropriate for analyses where the
> independent and dependent variables are interchangeable?/
>
> Any advice as to which option is the most suitable, and any other issues
> that I have not identified, is most welcome!
>
> Thanks,
> Dean
>
>
>
>
>
> --
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>
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