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a technique that asks participants to evaluate a series of tradeoffs between attributes, and by comparing these tradeoffs demonstrates the relative importance of attribute values

1 vote
Accepted

How to do a choice-based conjoint analysis with multiple regression and 3 levels per attribute?

In my data, I also have one column per level instead of one column per attribute like they did. The problem is that, since they only use 2 levels per attribute in their example, they have no problem …
Johannes Titz's user avatar
1 vote
Accepted

How to calculate average importance of factors (attributes) correctly in "conjoint" package ...

Can you improve your answer, please. There are several mistakes, such as in the first attribute calculation. Also, what is y,type = "score" supposed to be? Usually you should be able to calculate impo …
Johannes Titz's user avatar
1 vote
0 answers
17 views

Relationship between conjoint measurement and conjoint analysis

The wikipedia page "Cojoint Analysis" says that conjoint analysis originated in mathematical psychology (without a reference) but also that it was developed by marketing professor Paul Green. On the g …
Johannes Titz's user avatar
1 vote

Conjoint analysis for continuous choice

Several options. radiant looks good to me and there is an easy to follow tutorial: https://bookdown.org/content/1340/8-conjoint.html as well as a shiny-app: https://vnijs.shinyapps.io/radiant/?SSUID=3 …
Johannes Titz's user avatar
0 votes

Using Orthogonal Main Effects Plan to select profiles for conjoint analysis

Sorry, no experience with python, but fairly easy to do in R, even for absolute beginners: # if you do not have it yet, install via install.packages("radiant") library(radiant) doe(c("Pressure;40;55; …
Johannes Titz's user avatar