R packages and tutorial for case 1 best-worst scaling
R packages and tutorial for case 1 best-worst scaling
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DOI：
10.1016/j.jocm.2022.100394
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发表时间：
2022-12-24
影响因子：
2.4
通讯作者：
Fogarty，James
中科院分区：
文献类型：
--
作者：
Aizaki，Hideo;Fogarty，James
案例 1 最佳-最差缩放 (BWS1) 已广泛应用于各种研究领域。相对于离散选择实验，BWS1 很有吸引力，因为可以轻松测量个人对项目的偏好。尽管实施起来相对容易，BWS1 分析仍然需要使用软件包。当与其他软件包结合使用时，软件包 support.BWS 中的新功能和修订功能允许使用计数方法或建模方法进行 BWS1 分析。此外，模拟对 BWS1 问题的回答的新功能允许为教学目的创建特定于学科的 BWS1 示例。为了方便新手用户使用R实现BWS1分析，开发了与R Commander集成的RcmdrPlugin.BWS1包。还开发了 R 中 BWS1 的免费网络教程。本文解释了最新版本的 support.BWS 以及新包 RcmdrPlugin.BWS1 的功能，并说明了这些包的工作原理。
Case 1 best–worst scaling (BWS1) has been used in a wide variety of research fields. BWS1 is attractive, relative to discrete choice experiments, because individual’s preferences for items can be easily measured. Despite the relative ease of implementation, BWS1 analysis still requires the use of software packages. When used in conjunction with other packages, the new and revised functions in the packagesupport.BWSallow BWS1 analysis to be conducted using either the counting approach or the modeling approach. Additionally, a new function that simulates responses to BWS1 questions allows discipline specific BWS1 examples to be created for teaching purposes. To make it easier for novice users to implement BWS1 analysis with R, the packageRcmdrPlugin.BWS1, that integrates with R Commander has been developed. A free web tutorial for BWS1 in R has also been developed. This paper explains the features of the latest version ofsupport.BWS, along with the new packageRcmdrPlugin.BWS1, and illustrates how these packages work.