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An R package and tutorial for case 2 best-worst scaling
This item is licensed under:Creative Commons Attribution 4.0 International
| Title: | An R package and tutorial for case 2 best-worst scaling |
| Authors: | Aizaki, Hideo Browse this author →KAKEN DB | | Fogarty, James Browse this author |
| Keywords: | Best worst scaling | | Package | | Profile | | R | | Tutorial |
| Issue Date: | Sep-2019 |
| Publisher: | Elsevier |
| Journal Title: | Journal of choice modelling |
| Volume: | 32 |
| Start Page: | 100171 |
| Publisher DOI: | 10.1016/j.jocm.2019.100171 |
| Abstract: | Case 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. |
| Rights: | https://creativecommons.org/licenses/by/4.0/ |
| Type: | article |
| URI: | http://hdl.handle.net/2115/76042 |
| Appears in Collections: | 農学院・農学研究院 (Graduate School of Agriculture / Faculty of Agriculture) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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