Ordinals are not just about order. That's certainly a primary use, but for some
specific ordinal scales, specific operations are defined that give
(quasi) meaningful
results when performed upon the numbers. There's no general case, and
additionally,
I think that many of the specific defined operations fail any sort of
rigor test at all.
But never-the-less, they are defined and used in clinical contexts.
That's an additional
reason why the ordinal equivalent in ISO 21090 has a real number for
value, not an
integer. And for this reason, openEHR should probably have a real too.
But I don't
see a path from here to there, as it were

Grahame


On Wed, Apr 21, 2010 at 7:49 PM, Thomas Beale
<thomas.beale at oceaninformatics.com> wrote:
>
> Hi Mark,
>
> the openEHR model of 'ordinals' (right or not) is that each ordinal value is
> an association of an integer with a symbol (which could be words, but also
> anything else like '++'). The numbers are used to make the ordering
> computable - in fact this is the definition of the 'ordinal' concept in
> openEHR - that there is order without otherwise any proper scaled notion of
> magnitude.
>
> This data type (DV_ORDINAL) is used in at least two ways (wrongly or
> rightly):
>
> to model scales of symbols, such as 'none', '+', '++', '+++' and so on
> (maybe pain, reaction, urinalysis analytes), where there are otherwise no
> numerics built into the published scale - i.e. someone had to invent them
> when creating archetypes or other openEHR artefacts
> to model scales whose values are primarily expressed as numerics and whose
> 'symbols' are just words
> to model scales of numbers like Apgar and Barthel, where the primary
> expression of 'value' is numeric, and the numbers are meant to be added up,
> and the 'symbol' is in fact a term, i.e. explanatory phrase
>
> doing this has the desired effect in all cases of establishing computable
> ordering between adjacent members (since computers don't understand that
> '++' is somehow 'less than' '+++'). But it is clear that there are
> downsides:
>
> in the first case above, it is us (i.e. archetype modellers) adding
> arbitrary numbers to make the scale of values computable
> in the second and third cases, there is no obvious reason why real numbers
> should not be chosen, especially in the last case above, since the values
> might be carefully chosen to make the subsequent additions have a certain
> effect.
>
> At the very least it seems that we need is the ability to use real numbers
> as well as just integers. Maybe there is more to it - I certainly don't have
> a good enough feel for the use of these kinds of scales in medicine, nor
> their implied semantics. With respect to literature, I have to admit we did
> not find anything much on ordinal scales, although we tried to stick to
> well-known notions of accuracy, precision, units etc in the design of the
> main quantitative data types in openEHR (also proper mathematical notions
> which lead to meaningful operations, e.g. + and - being defined on true
> 'amounts' but not on dates). If you know of any literature on this topic of
> scale design, I am sure it would be helpful here.
>
> - thomas
>
> On 21/04/2010 09:12, Mark Leaning wrote:
>
> I am hesitant to enter this discussion, but here goes.
>
>
>
> An assessment scale which assigns a numeric score as well as a symbol/term
> is not an ordinal scale. The symbols do in fact comprise an ordinal scale
> (?very low? < ?low? etc). However the numerics provide something else ?
> usually to be added up with other scores. The designers of such scales are
> bound to validate the composite numeric scores (cf SF36).
>
>
>
> What you then have is ordinal symbol + real number. If the scale designer
> needs to use decimals, that is their choice.
>
>
>
> It might be worth looking at the measurement theory literature.
>
>
>
> Cheers
>
> Mark
>
>
>
> Mark S Leaning PhD
>
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