Best-Worst Scaling

Theory, Methods and Applications

Business & Finance, Economics, Econometrics, Nonfiction, Science & Nature, Mathematics
Cover of the book Best-Worst Scaling by Jordan J. Louviere, Terry N. Flynn, A. A. J. Marley, Cambridge University Press
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Author: Jordan J. Louviere, Terry N. Flynn, A. A. J. Marley ISBN: 9781316288306
Publisher: Cambridge University Press Publication: September 23, 2015
Imprint: Cambridge University Press Language: English
Author: Jordan J. Louviere, Terry N. Flynn, A. A. J. Marley
ISBN: 9781316288306
Publisher: Cambridge University Press
Publication: September 23, 2015
Imprint: Cambridge University Press
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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