@article{Harrison:10238,
      recid = {10238},
      author = {Harrison, R. Wes and Gillespie, Jeffrey M. and Fields,  Deacue},
      title = {Analysis of Cardinal and Ordinal Assumptions in Conjoint  Analysis},
      journal = {Agricultural and Resource Economics Review},
      address = {2005-10},
      number = {1203-2016-95271},
      pages = {15},
      year = {2005},
      abstract = {Of twenty-three agricultural economics conjoint analyses  conducted between 1990 and 2001, seventeen used  interval-rating scales, with estimation procedures varying  widely. This study tests cardinality assumptions in  conjoint analysis when interval-rating scales are used, and  tests whether the ordered probit or two-limit tobit model  is the most valid. Results indicate that cardinality  assumptions are invalid, but estimates of the underlying  utility scale for the two models do not differ. Thus, while  the ordered probit model is theoretically more appealing,  the two-limit tobit model may be more useful in practice,  especially in cases with limited degrees of freedom, such  as with individual-level conjoint models.},
      url = {http://ageconsearch.umn.edu/record/10238},
      doi = {https://doi.org/10.22004/ag.econ.10238},
}