Function caBTL estimates participation of simulation profiles using probabilistic model BTL (Bradley-Terry-Luce). Function returns vector of percentage participations. The sum of participation should be …

Conjoint analysis is used to study consumers’ product preferences and simulate consumer choice. This chapter describes conjoint analysis and provides examples using SAS.

This eBook will explore the differences in various conjoint methodologies, present case studies, and offer some best practices to help you determine which conjoint is the best methodology for your project.

Conjoint analysis is a factorial survey experiment that is designed to measure multidimensional preferences. In a typical application, respondents are presented with a pair of hypothetical profiles …

"CONJOINT: Stata module to analyse and visualise conjoint (factorial) experiments," Statistical Software Components S458950, Boston College Department of Economics.

Conjoint analysis provides various outputs for analysis, including part-worth util-ities, counts, importances, and shares-of-preference simulations. This chapter dis-cusses these measures and …

ct as a tool for preference measurement in response to those stimuli. Furthermore, although conjoint experiments are typically associated with their tabular representation of the experimental attributes, …