Best-worst scaling: theory, methods and applications

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, busi...

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Bibliographic Details
Main Authors: Louviere, Jordan J. (Author), Flynn, Terry N. (Author), Marley, A. A. J. (Author)
Format: Electronic eBook
Language:English
Published: Cambridge Cambridge University Press 2015
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Online Access:BSB01
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Summary: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. This book provides an authoritative and systematic treatment of best-worst scaling, introducing readers to the theory and methods for three broad classes of applications. It uses a variety of case studies to illustrate simple but reliable ways to design, implement, apply, and analyze choice data in specific contexts, and showcases the wide range of potential applications across many different disciplines. Best-worst scaling avoids many rating scale problems and will appeal to those wanting to measure subjective quantities with known measurement properties that can be easily interpreted and applied
Item Description:Title from publisher's bibliographic system (viewed on 05 Oct 2015)
Physical Description:1 Online-Ressource (xx, 342 Seiten) Diagramme
ISBN:9781107337855
DOI:10.1017/CBO9781107337855

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