ISSN:
2633-9048
Content:
When choosing a partial factorial design for best-worst scaling (BWS) or other discrete choice experiment, researchers are faced with design size choices. This work investigates differences between two case 1 (object) BWS choice experiment designs that varied in choice set size and number of questions. Using a random-parameter logit model, preference shares were determined and statistically compared between models. The number of transitivity violations occurring between the experimental designs was analyzed employing a newly developed directed graph algorithm. The relative importance consumers placed on dairy milk attributes differed between the designs studied. The design presenting fewer attributes per choice set forced novel tradeoffs more often and yielded no increase in transitivity violations. In general, if one seeks to establish rank among variables and force tradeoffs, smaller designs should be considered.
In:
Q open, Oxford : Oxford University Press, 2021, 3(2023), 2, Artikel-ID qoac019, Seite 1-22, 2633-9048
In:
volume:3
In:
year:2023
In:
number:2
In:
elocationid:qoac019
In:
pages:1-22
Language:
English
Keywords:
Aufsatz in Zeitschrift
DOI:
10.1093/qopen/qoad019
Bookmarklink