Bootstrap Inference for Choice-Based Conjoint Analysis

Authors

Keywords:

Paired bootstrap, Light yogurt, Free software R

Abstract

This article aims to present an application of Choice-Based Conjoint Analysis (CBCA) with additional inferences for the Choice Probabilities of each treatment and for the Choice Ratios, made through their empirical distributions obtained  via bootstrap. This study involved three attributes and eight treatments (light strawberry-flavored yogurt) in a full factorial design. By accessing the empirical distribution of the probabilities and choice ratios, it was possible to make inferences about such quantities, something that is not trivial in the frequentist context. Additionally, bias and standard error values were obtained for the Choice Probabilities and Choice Ratios, making it possible to assess the precision of these estimates, build confidence intervals, and conduct statistical comparisons on these.

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Published

28-12-2024

How to Cite

Campana Barbosa, E., Ribeiro, A. dos S., dos Santos Nascimento, J., Gonçalves Batista, L., Henrique Osório Silva, C., Suzana Maria Della Lucia, … Pereira Belo, L. (2024). Bootstrap Inference for Choice-Based Conjoint Analysis. Sigmae, 13(5), 23–38. Retrieved from https://publicacoes.unifal-mg.edu.br/revistas/index.php/sigmae/article/view/2499

Issue

Vol. 13 No. 5 (2024): "Relax and be happy!"

Section

Applied Statistics

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