Thanks Peter

I don't have 'ratings of style' for these players and option (2) that
you suggest isnt' an option for me. The closest I come to a rating of
style would be the information contained in the head-to-head in
association with the ELO ratings, which should implicitly account for
the 'average strength' (ELO) and the the 'compartive strength of
style' plus average strength(head to head).

J.

[EMAIL PROTECTED] (Peter Flom) wrote in message news:<[EMAIL PROTECTED]>...
> This is an intersting question. 
> 
> I see two ways you could continue.  
> 
> 1) If you have some rating(s) of 'style' for each of the 600 players,
> you could use those ratings, or perhaps some interaction of them, as a
> covariate  How exactly you would do this depends on what the ratings of
> style are like, and what your exact hypothesis is.
> 
> 2) Lacking such ratings of style, you might try to derive some. 
> Assuming that these 600 players are top grandmasters, then you MIGHT be
> able to do something with multidimensional scaling.  What this would
> require is getting a bunch of people to rate how 'similar' different
> players are.  The trouble is, with 600 people to rate, you'd need a lot
> of raters, and they'd have to be knowldegable enough to give sensible
> ratings of the players.   Perhaps this is doable; you might try
> contacting a bunch of very knowldgable players and offering them money
> to do the job.
> 
> 
> HTH
> 
> Peter
.
.
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