On the Creation of Acceptable Conjoint Analysis Experimental Designs

نویسندگان

  • Joel H. Steckel
  • Vijay Mahajan
چکیده

Conjoint analysis studies typically utilize orthogonal fractional factorial experimental designs to construct a set of hypothetical stimuli. Occasionally, these designs include environmentally correlated attributes that can lead to stimulus profiles that are not representative of the subject’s environment. To date, no one has proposed a remedy well-grounded in statistical theory. This note presents a new methodology utilizing combinatorial optimization procedures for creating modified fractional factorial designs that are as “orthogonal” as possible, which do not contain nonrepresentative stimulus profiles. Subject Amas: Marketing Research, Product Design and Pcrformanca, and Decision Processes.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Nonstandard Algorithm for Constructing Efficient Conjoint Experimental Designs

Conjoint analysis is a research technique for measuring consumer preferences, and it is a method for simulating consumers’ possible reactions to changes in current products or newly introduced products into an existing competitive market. One of the most critical steps in Conjoint analysis application is experimental designs construction. The purpose of an experimental design is to give a rough...

متن کامل

Choosing Optimal Designs for Pair-Wise Metric Conjoint Experiments

This paper presents an approach to the optimal fixed experimental design for pair-wise metric conjoint studies. We first propose a linear model suitable for metric paired comparison conjoint analysis. Following Bayesian decision theory, optimal design problems in pairwise metric conjoint analysis is then formally defined. Given the formal definition of the experimental design problems, algorith...

متن کامل

Constructing experimental designs for discrete-choice experiments: report of the ISPOR Conjoint Analysis Experimental Design Good Research Practices Task Force.

Stated-preference methods are a class of evaluation techniques for studying the preferences of patients and other stakeholders. While these methods span a variety of techniques, conjoint-analysis methods-and particularly discrete-choice experiments (DCEs)-have become the most frequently applied approach in health care in recent years. Experimental design is an important stage in the development...

متن کامل

Efficient Experimental Design with Marketing Research Applications

We suggest using D-efficient experimental designs for conjoint and discrete-choice studies, and discuss orthogonal arrays, nonorthogonal designs, relative efficiency, and nonorthogonal design algorithms. We construct designs for a choice study with asymmetry and interactions and for a conjoint study with blocks and aggregate interactions.∗

متن کامل

Statistical and cognitive optimization of experimental designs in conjoint analysis

Conjoint analysis has become the most used technique for measuring preferences for new products to be launched in the market. Experimental design models are key elements for its use in market research. Suchmodels involve amatrix in which attributes and levels are combined, making product concepts that respondents then evaluate. Experimental design has emerged as a key element in conjoint analys...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007