Marketing Letters

, Volume 11, Issue 3, pp 249–260 | Cite as

Attribute Range Effects in Binary Response Tasks

  • Tobias Ohler
  • Aihong Le
  • Jordan Louviere
  • Joffre Swait


This paper investigates attribute range effects in binary response conjoint analysis tasks. We investigate a long-standing conjecture that the regression estimates of attributes in choice tasks are influenced by a researcher's selected range of attribute levels across choice sets. Specifically, we examine the effect(s) of varying attribute ranges systematically over two ranges of levels (1=wide range, 2=levels in the middle of the wide range) in a public bus choice context. A master 23 design is used to vary the range (i.e., wide, middle) of three numerical attributes (fare, service and time). In each of the eight master range conditions a 23 factorial creates bus profiles, and a ninth condition is added to test for response non-linearity. Our results suggest that attribute range impacts attribute main effects to a small degree, yet exhibit substantial and systematic effects on attribute interactions and model goodness-of-fit. Implications of these results for practical design of academic and commercial choice-based conjoint analysis tasks are discussed.

Conjoint analysis choice modelling choice experiments 


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Copyright information

© Kluwer Academic Publishers 2000

Authors and Affiliations

  • Tobias Ohler
    • 1
  • Aihong Le
    • 2
  • Jordan Louviere
    • 3
  • Joffre Swait
    • 4
    • 5
  1. 1.McKinsey & Company (Germany
  2. 2.AC Nielsen (Australia
  3. 3.Centre for Health Economics Research and EvaluationCamperdownAustralia
  4. 4.Advanis Inc.USA
  5. 5.University of FloridaUSA

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