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

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  • White, Mark H.

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.

Suggested Citation

  • White, Mark H., 2021. "bwsTools: An R package for case 1 best-worst scaling," Journal of choice modelling, Elsevier, vol. 39(C).
    • Handle: RePEc:eee:eejocm:v:39:y:2021:i:c:s1755534521000221
    DOI: 10.1016/j.jocm.2021.100289
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    References listed on IDEAS

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    6. Louviere, Jordan & Lings, Ian & Islam, Towhidul & Gudergan, Siegfried & Flynn, Terry, 2013. "An introduction to the application of (case 1) best–worst scaling in marketing research," International Journal of Research in Marketing, Elsevier, vol. 30(3), pages 292-303.
    7. Seda Erdem & Dan Rigby, 2013. "Investigating Heterogeneity in the Characterization of Risks Using Best Worst Scaling," Risk Analysis, John Wiley & Sons, vol. 33(9), pages 1728-1748, September.
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    Cited by:

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    2. Aizaki, Hideo & Fogarty, James, 2023. "R packages and tutorial for case 1 best–worst scaling," Journal of choice modelling, Elsevier, vol. 46(C).

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