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PRODID:-//Virginia Tech//VT Calendar//EN
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DTSTAMP:20110211T180000Z
UID:1291823946599@events.msu.edu
CATEGORIES:Conferences / Seminars / Lectures
DTSTART:20110211T180000Z
DTEND:20110211T210000Z
SUMMARY:Center for Statistical Training & Consulting Workshop: Multidimensional Scaling
DESCRIPTION:
 Would you like to draw pictures of your data, 
 in ways that reveal structures that are not obvious 
 from inspection of the data values, alone? 
 Multidimensional scaling (MDS) tries to 
 accomplish exactly that objective.  To be more 
 precise, MDS produces a map of stimuli, based 
 upon information about the proximities among 
 those stimuli. \n
 \n
 Multidimensional scaling 
 methods have many potential applications in 
 empirical research. They can be used to: simplify 
 the contents of large, complex datasets; 
 model similarities among sets of objects; estimate 
 the cognitive structures underlying survey 
 responses; and optimize the measurement 
 characteristics of qualitative observations. 
 MDS can be generalized to show individual differences 
 across distinct data sources (e..g, 
 subsets of survey respondents or data collected 
 at different time points). It also can be 
 adapted to represent respondent preferences 
 among a set of stimuli (so-called ideal points 
 models). \n
 \n
  Specific topics to be covered 
 in the short course include: The basic idea 
 of MDS; the general estimation procedure; interpretation 
 of results; different varieties of 
 MDS; and software options for performing MDS 
 analyses. These lectures are intended for a 
 general audience. They do not assume any prior 
 experience with MDS or familiarity with advanced 
 statistical methods (i.e., beyond basic 
 regression analysis).\n
 \n\n
 Price: Free to Graduate Students, Faculty and Research 
 Staff\n
 Sponsor: public\n
 Contact name: Dr. Brian Silver\n
 Contact phone: 517-353-9288\n
 Contact email: bsilver@msu.edu\n
 for more info visit the web at:\n 
 http://www.cstat.msu.edu/services/workshops/workshop.aspx?id=1570\n
LOCATION:106 Farrall Agricultural Engineering Hall
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