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Description

Tools for Case 1 Best-Worst Scaling (MaxDiff) Designs.

Tools to design best-worst scaling designs (i.e., balanced incomplete block designs) and to analyze data from these designs, using aggregate and individual methods such as: difference scores, Louviere, Lings, Islam, Gudergan, & Flynn (2013) <doi:10.1016/j.ijresmar.2012.10.002>; analytical estimation, Lipovetsky & Conklin (2014) <doi:10.1016/j.jocm.2014.02.001>; empirical Bayes, Lipovetsky & Conklin (2015) <doi:10.1142/S1793536915500028>; Elo, Hollis (2018) <doi:10.3758/s13428-017-0898-2>; and network-based measures.

bwsTools

Build Status

Tools for Case 1 Best-Worst Scaling (MaxDiff) Designs

Installation

install.packages("bwsTools")

Tutorial

A paper introducing the package and showing basic usage information can be found at the Open Science Framework: https://osf.io/xftvq/

Contents

  • Aggregate estimates, based on: analytical estimation of the multinomial logit model using ae_mnl() and Elo scores using elo()

  • Individual estimates, based on: difference scores (best minus worst) using diffscoring(), random walks in directed networks using walkscoring(), empirical Bayes using e_bayescoring(), Elo scores using eloscoring(), and page rank scores using prscoring()

  • A data.frame of balanced incomplete block designs for creating these studies, bibds, and a function to generate a balanced incomplete block design from this, make_bibd()

Metadata

Version

1.2.0

License

Unknown

Platforms (75)

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