MAILING LISTS

It is hazardous to attempt to carefully engineer the team formation process, especially if you want to keep it transparent to all.  Select one or two criteria that will help with wealth distribution and diversity - however defined. Then make it random - stratified random sort.  Dean

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On Oct 13, 2010, at 1:52 PM, Larry Michaelsen <[log in to unmask]> wrote:

> A number of years ago, I did some analysis of the relationship between gender mix and RAT scores using data from several hundred teams.  The differences were extremely small.  The only observable difference (I think it was even statistically significant) was that all-male or all-female groups did ever so slightly better.  
> 
> Larry
> 
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> -----
> Larry K. Michaelsen
> Professor of Management
> University of Central Missouri
> Dockery 400G
> Warrensburg, MO 64093
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>>>> Molly Espey <[log in to unmask]> 10/12/10 9:26 AM >>> 
> Has anyone quantitatively analyzed how various components of a team contribute to team success?  I'm interested in those components that we as teachers might have access to information about the students BEFORE forming teams:  gpa, gender, class level, age, in-state versus out-of-state, major.
> 
> I'm also curious:  is it common or not for faculty to have access to this sort of information about students enrolled in their classes?  We have something called the "Student Data Warehouse for Teaching Faculty" that provides lots of data but just about students enrolled in your classes for the current semester (available shortly before the semester starts in easy to use Excel format).
> 
> Thanks in advance for any responses!!
> 
> Molly Espey, Professor
> Applied Economics and Statistics
> 263 Barre Hall
> Clemson University
> Clemson, SC 29634
> (864) 656-6401