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Choice-Based Conjoint Analysis: Models and Designs
Hardcover
ISBN13: 9781420099966
Publisher: Crc Pr Inc
Published: Aug 18 2010
Pages: 192
Weight: 1.10
Height: 0.70 Width: 6.40 Depth: 9.30
Language: English
Conjoint analysis (CA) and discrete choice experimentation (DCE) are tools used to facilitate development and modification of products, services, policies, and programs, specifically ones that can be described in terms of attributes. A specific combination of attributes is called a concept profile. Building on the authors' significant work in the field, Choice-Based Conjoint Analysis: Models and Designs explores the design of experiment (DOE) issues that occur when constructing concept profiles and shows how to modify commonly used designs for solving DCE and CA problems. The authors provide historical and statistical background and discuss the concepts and inference.
The book covers designs appropriate for four classes of DOE problems: (1) attributes in CA and DCE studies are often ordered; (2) studies increasingly are computer-assisted; (3) choice is often influenced by competition; and (4) constraints may exist on attribute levels. Discussion begins with commonly used generic designs. The text then presents designs that avoid dominated or dominating profiles that may occur with ordered attributes and explores the use of orthogonal polynomials to describe relationships between ordered attribute levels and preference. Computer administration entails limited screen real estate for presenting concept profiles. The book covers approaches for subsetting attributes and/or levels to fit profiles into available screen real estate. It then discusses strategies for sequential experimentation. Choice also is influenced by the availability of competing alternatives. The book uses availability and cross-effects designs to illustrate the design and analysis of portfolios and shows the relationship between availability effects and interaction effects in analysis of variance models. The last chapter highlights approaches to experimental design in which constraints are imposed on the levels of attributes. These designs provide the means to untangle the pricing and formulation problems in CA and DCE.
Downloadable resources available at www.routledge.com/9781420099966.
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