Questions tagged [conjoint-analysis]

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

Conjoint analysis is a technique that asks participants to evaluate a series of tradeoffs between attributes, and then by comparing these tradeoffs demonstrates the relative importance of attribute values. Also called stated preference analysis or multi-attribute compositional models.

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Conjoint Packages for R

Could you recommend an easy to use or comprehensive conjoint analysis package for R?
Brandon Bertelsen
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Hierarchical multinomial logit with R/JAGS

I am working on a small project where I have to do a Choice Based Conjoint (CBC) analysis. In order to get the part-worths for the different consumers I need to estimate a hierarchical multinomial model. Does anyone know how to do this in R/JAGS,…
Thomas Jensen
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Multicategory choice model with given categories

I have three product categories, $A,B,C$. Each category has two products, $0,1$. I provide a number of different kinds of choice situations, 1) the test subject is presented a single category and made to choose a product, 2) the test subject is…
fgregg
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R gives me the error "contrasts can be applied only to factors with 2 or more levels" running an mlogit model, but all my factors have 2 levels

I have a set of results from a choice experiment that I am trying to analyse using the mlogit function in R. My data set is shown below, where each STR value represents the three choices in a single choice experiment, 'CHOICE' is a binary variable…
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Assumptions and contraindications of conjoint analysis

I'm working with a team that is pressing hard to do a conjoint analysis on what is essentially a 2x2 factorial design. I get the feeling, though, that this is just their favourite hammer and not necessarily a good idea, so I'd like to push back in…
Krysta
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How do I do a conjoint analysis in R? I don't think the conjoint package is appropriate

We have conducted a conjoint survey of people's preferences when shopping for salmon. We have defined our salmon products in terms of "price" (20p steps from £3.60 to £5), "eco-certification" (none, green statement and certified) and "Brand" (high,…
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A test for assessing advertisement efficiency

I am working on something to test advertisements. I have 3 independent variables I want to test (with mixed numbers of variations of each variable), and I would like to find the best combination of the three by looking at their effect on a single…
user3892
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Why do I get exact singularity when I add a dummy variable to a multinomial logistic using R mlogit?

I am using the mlogit package in R to run a multinomial logistic regression on pooled discrete choice data collected using two different questionnaire formats. I want to test whether the format had a significant effect on choices. When I run the…
DartPrivateer
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How to interpret D-Efficiency in Experimental Design in R OptFederov?

I created an orthogonal design in R using AlgDesign package. I got 14 profiles and some output: D =0.2519353; A = 5.462121; Ge = 0.748; Dea = 0.714. How to interpret D , A , Ge and Dea? Also, In regression like we have r square, which value should…
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Interpretation of clogit coefficients (Survival package in R)

Still very very new to R! I've run a conjoint (choice) experiment that uses the function clogit. Output as follows: (this model has been obtained through stepwise methods) clogout3a <- clogit(RES ~ ASC + Tasmania + Import + Price + strata(STR),data…
Eleanor
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Using conjoint analysis for price elasticity

I have been asked to use conjoint analysis to find the price elasticity of a certain category of products. I have never used conjoint analysis before and have been reading about it for a while. I have to confess I'm not delighted with the…
JEquihua
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Does a choice-based conjoint study have to be full profile?

In a Conjoint study, it's difficult for respondents to evaluate more than 6 product attributes at a time. Often this is solved via the use of Adaptive Conjoint Analysis (ACA), in which the questionnaire is modified for each individual respondent…
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Hierarchical bayes

I am programming in R using hierarchical bayes for a choice-based conjoint task and wondering how I code the "none of the above" option in the design matrix? The R code that I am using is below, which contains the rhierMnlRwMixture() function from…
StevenP
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D-efficiency in choice-based conjoint analysis

How to calculate the D-efficiency of experimental designs in conjoint analysis? Specifically, how do you specify the $X$ and the number of $nBetas$ in this formula: $$ D_e=\frac{|X'X|^{1/nBetas}}{nSets} $$ This question addresses the calculation of…
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Handling singular matrix / linear separation in multinomial logit regression

I am doing an analysis of a choice-based conjoint / discrete choice experiment. After using the mlogit.data function in the mlogit package to manipulate the results into the following format: respondent task concept length interface…
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