Analyzing preference rankings when there are too many alternatives
Consumer preferences can be measured by rankings of alternatives. When there are too many alternatives, this consumer task becomes complex. One option is to have consumers rank only a subset of the available alternatives. This has an impact on subsequent statistical analysis, as now a large amount of ties is observed. We propose a simple methodology to perform proper statistical analysis in this case. It also allows to test whether (parts of the) rankings are random or not. An illustration shows its ease of application.
|Keywords||Consumer preferences, Large amounts, Multiple comparison, Preference ranking, Rankings, Ties|
|Persistent URL||dx.doi.org/10.1007/978-3-642-01044-6-51, hdl.handle.net/1765/41214|
|Journal||Studies in Classification, Data Analysis, and Knowledge Organization|
Lam, K.Y, Koning, A.J, & Franses, Ph.H.B.F. (2010). Analyzing preference rankings when there are too many alternatives. In Studies in Classification, Data Analysis, and Knowledge Organization (pp. 553–562). doi:10.1007/978-3-642-01044-6-51