Results 141 to 150 of about 232,193 (183)

A formal and empirical comparison of two score measures for best–worst scaling

Journal of Choice Modelling, 2016
Abstract Best–worst scaling (BWS) is a method that asks individuals to choose the most and the least preferred option from a set of available options. There has been extensive discussion and evaluation of the use of scores (data summaries) in the analysis of such data.
A A J Marley, Guy E Hawkins
exaly   +3 more sources

Best-Worst Scaling

2015
Best-worst scaling (BWS) is an extension of the method of paired comparison to multiple choices that asks participants to choose both the most and the least attractive options or features from a set of choices. It is an increasingly popular way for academics and practitioners in social science, business, and other disciplines to study and model choice.
Louviere, Jordan, Flynn, Terry (R18365), Marley, Anthony A. J.   +2 more
openaire   +3 more sources

Best Worst Scaling: Theory and Practice

2015
Best worst scaling (BWS) can be a method of data collection, and/or a theory of how respondents provide top and bottom ranked items from a list. The three ‘cases’ of BWS are described, followed by a summary of the main models and related theoretical results, including an exposition of possible theoretical relationships between estimates from two of the
A.A.J. Marley, Terry N. Flynn
openaire   +2 more sources

Best-worst scaling: theory and methods

2014
Best-Worst Scaling (BWS) can be a method of data collection, and/or a theory of how respondents provide top and bottom ranked items from a list. BWS is increasingly used to obtain more choice data from individuals and/or to understand choice processes. The three “cases”of BWS are described, together with the intuition behind the models that are applied
T.N. Flynn, A.A.J. Marley
openaire   +2 more sources

Best-Worst Scaling with many items

Journal of Choice Modelling, 2019
Abstract Best-worst scaling (BWS) has become so useful that practitioners feel pressure to include ever more items in their experiments. Researchers wanting more items and enough observations of each item by each respondent to support individual respondent-level utility models may greatly increase the burden on respondents, resulting in respondent ...
Keith Chrzan, Megan Peitz
openaire   +1 more source

An examination of help‐seeking preferences via best–worst scaling

Journal of Clinical Psychology, 2020
AbstractObjectiveThis study utilized best–worst scaling and latent class analysis to assess mental health treatment preferences and identify subgroups of college student help seekers.MethodCollege students (N = 504; age: M = 20.3, 79.2% female) completed assessments of mental health treatment preferences, self‐stigma, and distress.ResultsStudents ...
Daniel G. Lannin, Michael Barrowclough, David L. Vogel   +2 more
openaire   +2 more sources

Best-worst scaling: an alternative to ratings data

2015
The purpose of this chapter is to compare best-worst scaling with rating scales in an organizational research application. Category rating scales are commonly used in organizational research, as they are easy for respondents to answer, allow one to ask questions about more items and have reasonable statistical properties (Gupta and Govindarajan, 1984).
Soutar, Geoffrey N., Sweeney, Jillian C., McColl-Kennedy, Janet R.   +2 more
openaire   +3 more sources

Exploring Best–Worst Scaling for Communication Sciences and Disorders

Perspectives of the ASHA Special Interest Groups, 2021
Purpose The primary purpose of this study is to introduce the method of best–worst scaling (BWS) and explore how it can be applied to the field of communication sciences and disorders. Method Two hundred thirty-six participants (156 students and 80 instructors) responded to a survey
Scot A. Squires, Katie E. Squires
openaire   +1 more source

The Best–Worst Scaling Approach: An Alternative to Schwartz's Values Survey

Journal of Personality Assessment, 2008
Traditional self-report ratings have some measurement problems that a relatively new method, best-worst scaling (BWS; Finn & Louviere, 1992), may overcome. This alternative method, based on Louviere's BWS, can be used to measure the relative importance or perceived trade-offs among choice alternatives. The method is illustrated as an alternative to the
Julie Anne, Lee, Geoffrey, Soutar, Jordan, Louviere   +2 more
openaire   +3 more sources