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Best-worst Scaling

Theory, Methods And Applications

Best-worst Scaling - Marley, A. A. J. (university Of Victoria, British Columbia); Flynn, Terry N. (university Of Western Sydney); Louviere, Jordan J. (university Of South Australia) - ISBN: 9781107043152
Prijs: € 63,50
Levertijd: 3 tot 4 werkdagen
Bindwijze: Boek, Gebonden
Genre: Econometrie
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First systematic treatment of best-worst scaling, explaining how to implement, analyze, and apply the theory across a range of disciplines.


Titel: Best-worst Scaling
auteur: Marley, A. A. J. (university Of Victoria, British Columbia); Flynn, Terry N. (university Of Western Sydney); Louviere, Jordan J. (university Of South Australia)
Mediatype: Boek
Bindwijze: Gebonden
Taal: Engels
Aantal pagina's: 360
Uitgever: Cambridge University Press
Plaats van publicatie: 03
NUR: Econometrie
Afmetingen: 183 x 256 x 23
Gewicht: 796 gr
ISBN/ISBN13: 9781107043152
Intern nummer: 29736771

Biografie (woord)

A. A. J. Marley is Adjunct Professor in the Department of Psychology, University of Victoria, and Research Professor at the Institute for Choice, University of South Australia. He is particularly known for his work in probabilistic models of choice, perception, and voting. He is a co-author of Behavioral Social Choice: Probabilistic Models, Statistical Inference, and Applications (Cambridge University Press, 2006).


'This is the definitive source work on best-worst scaling - the method is explained and illustrated by its original developers. A must-have for marketing research practitioners, consultants, and academics interested in the latest advances in stated-choice methods.' Robert J. Meyer, Frederick H. Ecker/Metlife Insurance Professor of Marketing and Co-Director, Wharton Center for Risk Management and Decision Processes, The Wharton School, University of Pennsylvania


Preface; Acknowledgments; Theory and Methods: 1. Introduction and overview of the book; 2. The BWS object case; 3. The BWS profile case; 4. The BWS multi-profile case; 5. Basic models; 6. Looking forward; Applications - Case 1: 7. BWS object case application: attitudes towards end-of-life care Terry N. Flynn, Elisabeth Huynh and Charles Corke; 8. How consumers choose wine: using best-worst scaling across countries Larry Lockshin and Eli Cohen; 9. Best-worst scaling: an alternative to ratings data Geoffrey N. Soutar, Jillian C. Sweeney and Janet R. McColl-Kennedy; Applications - Case 2: 10. When the ayes don't have it: supplementing an accept/reject DCE with a case 2 best-worst scaling task Richard T. Carson and Jordan J. Louviere; 11. BWS profile case application: preferences for treatment in dentistry Emma McIntosh and Terry N. Flynn; 12. BWS profile case application: preferences for quality of life in Australia Terry N. Flynn and Elisabeth Huynh; Applications - Case 3: 13. The stability of aggregate-level preferences in longitudinal discrete choice experiments Towhidul Islam and Jordan J. Louviere; 14. Case 3 best-worst analysis using delivered pizza and toothpaste examples Bart D. Frischknecht and Jordan J. Louviere; 15. Using alternative-specific DCE designs and best and worst choices to model choices Jordan J. Louviere; References; Subject index; Author index.


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