Choice Experiments for Estimating Main Effects and Interactions

Journal of Statistical Planning and Inference 142 (2012) 390-396

8 Pages Posted: 29 Apr 2014

See all articles by Pallavi Chitturi

Pallavi Chitturi

Temple University - Department of Statisitcs

Jing Chen

Verisk Health, Inc.

Date Written: 2012

Abstract

Choice-based conjoint experiments are used when choice alternatives can be described in terms of attributes. The objective is to infer the value that respondents attach to attribute levels. This method involves the design of profiles on the basis of attributes specified at certain levels. Respondents are presented sets of profiles and asked to select the one they consider best. However if choice sets have too many profiles, they may be difficult to implement. In this paper we provide strategies for reducing the number of profiles in choice sets. We consider situations where only a subset of interactions is of interest, and we obtain connected main effect plans with smaller choice sets that are capable of estimating subsets of two-factor and three-factor interactions in 2n and 3n plans. We also provide connected main effect plans for mixed level designs.

Keywords: Choice-based conjoint, choice alternatives, attributes, choice sets

Suggested Citation

Chitturi, Pallavi and Chen, Jing, Choice Experiments for Estimating Main Effects and Interactions (2012). Journal of Statistical Planning and Inference 142 (2012) 390-396, Available at SSRN: https://ssrn.com/abstract=2429969

Pallavi Chitturi (Contact Author)

Temple University - Department of Statisitcs ( email )

Philadelphia, PA 19027
United States

Jing Chen

Verisk Health, Inc. ( email )

201 Jones Road, 4th Floor
Waltham, MA 02451
United States

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