bwsTools: An R package for case 1 best-worst scaling

Mark H. White

Journal of choice modelling, 2021, vol. 39, issue C

Abstract: Case 1 best-worst scaling, also known as best-worst scaling or MaxDiff, is a popular method for examining the relative ratings and ranks of a series of items in various disciplines in academia and industry. The method involves a survey respondent indicating the “best” and “worst” from a sample of items across a series of trials. Many methods exist for calculating scores at the individual and aggregate levels. I introduce the bwsTools package, a free and open-source set of tools for the R statistical programming language, to aid researchers and practitioners in the construction and analysis of best-worst scaling designs. This package is designed to work seamlessly with tidy data, does not require design matrices, and employs various published individual- and aggregate-level scoring methods that have yet to be employed in free software.

Keywords: Best-worst scaling; MaxDiff; Choice modeling; R (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eejocm:v:39:y:2021:i:c:s1755534521000221

DOI: 10.1016/j.jocm.2021.100289

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