000 02242nam a2200361 i 4500
001 CR9781107337855
003 UkCbUP
005 20240830160759.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 130212s2015||||enk o ||1 0|eng|d
020 _a9781107337855 (ebook)
020 _z9781107043152 (hardback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aH61.27
_b.L68 2015
082 0 0 _a300.72
_223
100 1 _aLouviere, Jordan J.,
_eauthor.
245 1 0 _aBest-worst scaling :
_btheory, methods and applications /
_cJordan J. Louviere, Terry N. Flynn, and A.A.J. Marley.
264 1 _aCambridge :
_bCambridge University Press,
_c2015.
300 _a1 online resource (xx, 342 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520 _aBest-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.
650 0 _aScaling (Social sciences)
650 0 _aScaling (Social sciences)
_xMathematical models.
700 1 _aFlynn, Terry N.,
_eauthor.
700 1 _aMarley, A. A. J.,
_eauthor.
776 0 8 _iPrint version:
_z9781107043152
856 4 0 _uhttps://doi.org/10.1017/CBO9781107337855
942 _2ddc
_cEB
999 _c10100
_d10100