I'd happily interpret continuous
here as including any discrete
scale which you are willing to
treat as approximately continuous.
Even with a 7 point ordered scale,
it may well work much better than you
fear. It is difficult to add rigour
to that, but many useful procedures
depend on treating ordered scales
literally (meaning numerically)
through scores, whatever the
measurement purists say.
Nick
[email protected]
Joseph Coveney
> Sent: 20 May 2004 02:07
> To: Statalist
> Subject: Re: st: Kappa programming challenge...
>
>
> I'm not familiar with Lin's coefficient of concordance. The
> help file for
> -concord- states that Lin's coefficient is for continuous variables.
>
> The command does allow frequency weights, which I suppose
> would warrant
> inference that it's suitable for use with
> limited-dependent-value data, such as
> rating scales.
>
> Kendall's coefficient of concordance has always sprung to
> mind in the past as
> the alternative to Cohen's weighted kappa coefficient in
> situations of inter-
> rater agreement with ordered categorical variables.
>
> Should I switch--is there a reason to prefer Lin's
> coefficient in these kinds
> of situations?
>
> The reason that I'm asking is that I couldn't find any
> guidance on this in its
> description in the _Stata Technical Bulletin_.
>
> Joseph Coveney
>
> --------------------------------------------------------------
> -----------------
>
> Ronan Conroy wrote:
> z
> > [email protected] wrote:
>
> > All ratings are on a 1 to 7 scale with end anchors along
> > the lines of 'rubbish' and 'brilliant'.
>
> Since the scale is ordered, what about Lin's concordance
> coefficient? I
> prefer it, somehow, to weighting kappa.
>
> --------------------------------------------------------------
> ------------------
>
>
>
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