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DTSTAMP:20100212T180000Z
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CATEGORIES:Conferences / Seminars / Lectures
DTSTART:20100212T180000Z
DTEND:20100212T210000Z
SUMMARY:Center for Statistical Training & Consulting Workshop: Multi-Dimensional 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
 MDS 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. \n
 \n
 The workshop is presented by Dr. 
 William Jacoby. Registration begins January 
 11, 2010. Please visit www.cstat.msu.edu to register.\n\n
 Price: Free to Graduate Students, Faculty and Research 
 Staff\n
 Sponsor: public\n
 Contact name: Brian Silver\n
 Contact phone: 517-353-9288\n
 Contact email: cstatinf@msu.edu\n
 for more info visit the web at:\n 
 https://www.cstat.msu.edu/services/workshops/workshop.aspx?id=1140\n
LOCATION:106B Wells Hall
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