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:
> [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.
--------------------------------------------------------------------------------
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
