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SUMMARY:Optimal designs for discrete choice experiments in the presence of
  many attributes - Goos\, P (Antwerpen)
DTSTART:20110817T104500Z
DTEND:20110817T113000Z
UID:TALK32391@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:In a discrete choice experiment each respondent typically choo
 ses the best product or service sequentially from many groups or choice se
 ts of alternatives which are characterized by a number of different attrib
 utes. Respondents can find it difficult to trade off prospective products 
 or services when every attribute of the offering changes in each compariso
 n. Especially in studies involving many attributes\, respondents get overl
 oaded by the complexity of the choice task. To overcome respondent fatigue
 \, it makes sense to simplify the comparison by holding some of the attrib
 utes constant in every choice set. A study in the health care literature w
 here eleven attributes were allocated across three different experimental 
 designs with only five attributes being varied motivates the approach we p
 resent. However\, our algorithm is more general\, allowing for any number 
 of attributes and a smaller number of fixed attributes. We describe our al
 gorithmic approach and show how the resulting design performed in our moti
 vating example.\n
LOCATION:Seminar Room 1\, Newton Institute
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