I’m very glad to see the Conjoint Package for R. The documentation for it does not appear to specify methods for data acquisition. Are the cards to be individually scored by each respondent (most clients would rather see a choice-based methodology)?
SurveyGizmo, an excellent online survey host which I use, has in beta a Conjoint question type. However, it does not appear to calculate respondent-level utility values at this time. SurveyGizmo supports a conjoint question design in which each respondent is shown 3 cards at a time, and permitted to identify one of the three as Best, and one as Worst. (SG supports additional conjoint question designs as well). Data acquired by SurveyGizmo conjoint looks like this for each respondent: > Set #1 > Model Attribute Model Value > Price $300 > Size 7" > Memory 128 gb > Score: 50 > > Set #2 > Model Attribute Model Value > Price $100 > Size 4" > Memory 16 gb > Score: 0 > > Set #3 > Model Attribute Model Value > Price $200 > Size 6" > Memory 64 gb > Score: 100 > > Set #4 > Model Attribute Model Value > Price $100 > Size 5" > Memory 32 gb > Score: 100 > > Set #5 > Model Attribute Model Value > Price $200 > Size 5" > Memory 32 gb > Score: 0 Score 100 = Best Score 50 = Not selected Score 0 = Worst Is it possible to use the R-Project Conjoint Package with a data file like this, to calculate respondent-level utility values? In other words, are the scores (100, 50, 0) input that the Conjoint Package can use? Thanks very much in advance to all for any info! Best, -Vik ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
