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

被引:26
作者
Aizaki, Hideo [1 ]
Fogarty, James [2 ]
机构
[1] Hokkaido Univ, Res Fac Agr, Kita Ku, Kita 9,Nishi 9, Sapporo, Hokkaido 0608589, Japan
[2] Univ Western Australia, Agr & Resource Econ, Sch Agr & Environm, 35 Stirling Highway, Perth, WA 6009, Australia
关键词
Best worst scaling; Package; Profile; R; Tutorial; DISCRETE-CHOICE EXPERIMENTS; CLINICAL FOLLOW-UP; CAREGIVER PREFERENCES; CONTRACEPTIVE PRODUCTS; ELICITING PREFERENCES; ECONOMIC-EVALUATION; PUBLIC PREFERENCES; OF-LIFE; HEALTH; PATIENT;
D O I
10.1016/j.jocm.2019.100171
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
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页数:21
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