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Axiomatic and numerical conjoint measurement: An evaluation of diagnostic efficacy

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  • Douglas Emery
  • F. Hutton Barron

Abstract

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Suggested Citation

  • Douglas Emery & F. Hutton Barron, 1979. "Axiomatic and numerical conjoint measurement: An evaluation of diagnostic efficacy," Psychometrika, Springer;The Psychometric Society, vol. 44(2), pages 195-210, June.
  • Handle: RePEc:spr:psycho:v:44:y:1979:i:2:p:195-210
    DOI: 10.1007/BF02293971
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    References listed on IDEAS

    as
    1. Green, Paul E & Srinivasan, V, 1978. "Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(2), pages 103-123, Se.
    2. Charles Sherman, 1972. "Nonmetric multidimensional scaling: A monte carlo study of the basic parameters," Psychometrika, Springer;The Psychometric Society, vol. 37(3), pages 323-355, September.
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    Cited by:

    1. U. Umesh & Sanjay Mishra, 1990. "A Monte Carlo investigation of conjoint analysis index-of-fit: Goodness of fit, significance and power," Psychometrika, Springer;The Psychometric Society, vol. 55(1), pages 33-44, March.
    2. Thomas Nygren, 1986. "A two-stage algorithm for assessing violations of additivity via axiomatic and numerical conjoint analysis," Psychometrika, Springer;The Psychometric Society, vol. 51(3), pages 483-491, September.
    3. Björn Sossong & Stefan Felder & Malte Wolff & Klaus Krüger, 2017. "Evaluating the consequences of rheumatoid arthritis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(6), pages 685-696, July.

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