An R package and tutorial for case 2 best–worst scaling

Hideo Aizaki, J. Fogarty

Research output: Contribution to journalArticle

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.

Original languageEnglish
Article number100171
JournalJournal of Choice Modelling
Volume32
DOIs
Publication statusPublished - 1 Sep 2019

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title = "An R package and tutorial for case 2 best–worst scaling",
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.",
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An R package and tutorial for case 2 best–worst scaling. / Aizaki, Hideo; Fogarty, J.

In: Journal of Choice Modelling, Vol. 32, 100171, 01.09.2019.

Research output: Contribution to journalArticle

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AU - Fogarty, J.

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