A New Test of Attribute Significance for Nonparametric Conjoint Models컨조인트 모형의 속성 유의성을 검증하기 위한 새로운 비모수통계 검증법

A new chi-square test is proposed to assess significance of attributes for nonparametric conjoint models. The key idea is to form subsets of rankings and test the dependence between the attribute levels and the sets of rankings. The null hypothesis states that the rankings for profiles with the focal attribute are distributed randomly among the sets of rankings. The approach is simple, easy to use, and can be applied at the individual level as well as at the aggregate level. It can be used for the trade-off approach as well as for the full profile approach.
Publisher
한국마케팅학회
Issue Date
2007-07
Language
KOR
Citation

아시아마케팅저널 v.9 no.1598-7868 pp.23 - 47

ISSN
1598-7868
URI
http://hdl.handle.net/10203/11437
Link
http://www.kma.re.kr/
Appears in Collection
KGSM-Journal Papers(저널논문)
  • Hit : 113
  • Download : 1
  • Cited 0 times in thomson ci

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0