2024-03-29T13:26:18Zhttps://eprints.lib.hokudai.ac.jp/dspace-oai/requestoai:eprints.lib.hokudai.ac.jp:2115/760422022-11-17T02:08:08Zhdl_2115_20046hdl_2115_138An R package and tutorial for case 2 best-worst scaling1000000343765Aizaki, HideoFogarty, Jamesmetadata only accessCreative Commons Attribution 4.0 InternationalBest worst scalingPackageProfileRTutorial417Case 2 (profile case) best-worst scaling (BWS) is a question-based survey method for measuring preferences for attribute levels. Several existing R packages help to implement the construction of Case 2 BWS questions (profiles) and the discrete choice analysis of the responses to the questions. Structuring the dataset for Case 2 BWS analysis is, however, complicated: there are several model variants for the analysis, and independent variables are set according to the variants. This complexity makes it difficult for non-expert users to prepare datasets for Case 2 BWS analysis. To improve the capability of R with respect to Case 2 BWS and facilitate easier data analysis, the package support.BWS2 has been developed. The package provides a function to map raw survey data into a format suitable for analysis, and also includes other useful functions, such as a function to calculate count-based BWS scores. A free online tutorial for Case 2 BWS in R has also been made available. These works make it easier for those new to Case 2 BWS to complete research using R, and facilitate the use of Case 2 BWS in various research fields.Elsevier2019-09engjournal articleNAhttp://hdl.handle.net/2115/76042https://doi.org/10.1016/j.jocm.2019.1001711755-5345Journal of choice modelling32100171