R packages and tutorial for case 1 best–worst scaling

IF 2.8 3区 经济学 Q1 ECONOMICS Journal of Choice Modelling Pub Date : 2023-03-01 DOI:10.1016/j.jocm.2022.100394
Hideo Aizaki , James Fogarty
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引用次数: 6

Abstract

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 package support.BWS allow 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 package RcmdrPlugin.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 of support.BWS, along with the new package RcmdrPlugin.BWS1, and illustrates how these packages work.

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案例1最佳-最差缩放的R包和教程
案例1最佳-最差缩放(BWS1)已被广泛应用于各种研究领域。相对于离散选择实验,BWS1是有吸引力的,因为个人对物品的偏好可以很容易地测量。尽管实现相对容易,BWS1分析仍然需要使用软件包。当与其他软件包一起使用时,软件包中的新功能和修订功能提供支持。BWS允许使用计数方法或建模方法进行BWS1分析。此外,一个模拟对BWS1问题的回答的新功能允许为教学目的创建特定学科的BWS1示例。为了让新手用户更容易使用R实现BWS1分析,开发了与R Commander集成的包RcmdrPlugin.BWS1。还为R中的BWS1开发了一个免费的网络教程。本文介绍了最新版本支持的功能。BWS,以及新的包RcmdrPlugin.BWS1,并说明了这些包是如何工作的。
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来源期刊
CiteScore
4.10
自引率
12.50%
发文量
31
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