LEADER 05395nam 2200637 a 450 001 9910830561003321 005 20230721030055.0 010 $a1-280-91665-6 010 $a9786610916658 010 $a0-470-14856-X 010 $a0-470-14855-1 035 $a(CKB)1000000000356770 035 $a(EBL)304941 035 $a(OCoLC)304076639 035 $a(SSID)ssj0000129366 035 $a(PQKBManifestationID)11144239 035 $a(PQKBTitleCode)TC0000129366 035 $a(PQKBWorkID)10070560 035 $a(PQKB)10265373 035 $a(MiAaPQ)EBC304941 035 $a(EXLCZ)991000000000356770 100 $a20070315d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe construction of optimal stated choice experiments$b[electronic resource] $etheory and methods /$fDeborah J. Street, Leonie Burgess 210 $aHoboken, N.J. $cWiley$dc2007 215 $a1 online resource (344 p.) 225 1 $aWiley series in probability and statistics 300 $aDescription based upon print version of record. 311 $a0-470-05332-1 320 $aIncludes bibliographical references (p. 301-308) and index. 327 $aThe Construction of Optimal Stated Choice Experiments; Contents; List of Tables; Preface; 1 Typical Stated Choice Experiments; 1.1 Definitions; 1.2 Binary Response Experiments; LIST OF TABLES; 1.1 Attributes and Levels for the Survey to Enhance Breast Screening Participation; 1.3 Forced Choice Experiments; 1.2 One Option from a Survey about Breast Screening Participation; 1.3 Six Attributes to be Used in an Experiment to Compare Pizza Outlets; 1.4 One Choice Set in an Experiment to Compare Pizza Outlets; 1.4 The ""None"" Option 327 $a1.5 Attributes and Levels for the Study Examining Preferences for HIV Testing Methods1.5 A Common Base Option; 1.6 One Choice Set from the Study Examining Preferences for HIV Testing Methods; 1.6 Avoiding Particular Level Combinations; 1.6.1 Unrealistic Treatment Combinations; 1.7 Five Attributes to be Used in an Experiment to Investigate Miscarriage Management Preferences; 1.6.2 Dominating Options; 1.8 Five Attributes Used to Compare Aspects of Quality of Life; 1.7 Other Issues; 1.7.1 Other Designs; 1.7.2 Non-mathematical Issues for Stated Preference Choice Experiments 327 $a1.7.3 Published Studies1.8 Concluding Remarks; 2 Factorial Designs; 2.1 Complete Factorial Designs; 2.1.1 2k Designs; 2.1.2 3k Designs; 2.1 Values of Orthogonal Polynomials for n = 3; 2.2 A, B, and AB Contrasts for a 32 Factorial; 2.1.3 Asymmetric Designs; 2.3 A, B, and AB Contrasts for a 33 Factorial; 2.1.4 Exercises; 2.4 Main Effects Contrasts for a 2 x 3 x 4 Factorial; 2.2 Regular Fractional Factorial Designs; 2.2.1 Two-Level Fractions; 2.5 A Regular 24-1 Design; 2.2.2 Three-Level Fractions; 2.2.3 A Brief Introduction to Finite Fields; 2.2.4 Fractions for Prime-Power Levels 327 $a2.2.5 Exercises2.3 Irregular Fractions; 2.3.1 Two Constructions for Symmetric OAs; 2.3.2 Constructing OA[2k; 2k1; 4k2; 4]; 2.3.3 Obtaining New Arrays from Old; 2.3.4 Exercises; 2.4 Other Useful Designs; 2.5 Tables of Fractional Factorial Designs and Orthogonal Arrays; 2.5.1 Exercises; 2.6 References and Comments; 3 The MNL Model and Comparing Designs; 3.1 Utility and Choice Probabilities; 3.1.1 Utility; 3.1.2 Choice Probabilities; 3.2 The Bradley-Terry Model; 3.2.1 The Likelihood Function; 3.2.2 Maximum Likelihood Estimation; 3.2.3 Convergence; 3.2.4 Properties of the MLEs 327 $a3.2.5 Representing Options Using k Attributes3.2.6 Exercises; 3.3 The MNL Model for Choice Sets of Any Size; 3.3.1 Choice Sets of Any Size; 3.3.2 Representing Options Using k Attributes; 3.3.3 The Assumption of Independence from Irrelevant Alternatives; 3.3.4 Exercises; 3.4 Comparing Designs; 3.4.1 Using Variance Properties to Compare Designs; 3.4.2 Structural Properties; 3.4.3 Exercises; 3.5 References and Comments; 4 Paired Comparison Designs for Binary Attributes; 4.1 Optimal Pairs from the Complete Factorial; 4.1.1 The Derivation of the A Matrix 327 $a4.1.2 Calculation of the Relevant Contrast Matrices 330 $aThe most comprehensive and applied discussion of stated choice experiment constructions available The Construction of Optimal Stated Choice Experiments provides an accessible introduction to the construction methods needed to create the best possible designs for use in modeling decision-making. Many aspects of the design of a generic stated choice experiment are independent of its area of application, and until now there has been no single book describing these constructions. This book begins with a brief description of the various areas where stated choice experiments are applicable, includ 410 0$aWiley series in probability and statistics. 606 $aCombinatorial designs and configurations 606 $aOptimal designs (Statistics) 615 0$aCombinatorial designs and configurations. 615 0$aOptimal designs (Statistics) 676 $a519.6 700 $aStreet$b Deborah J$01611173 701 $aBurgess$b Leonie$01611174 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830561003321 996 $aThe construction of optimal stated choice experiments$93939277 997 $aUNINA