# Tagged Questions

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

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### Full and fractional factorial designs

I have a data set consisting of six independent environmental variables (all binomial: present/absent) and one dependent variable (binomial: disease present/absent). In order to determine the ...
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### How can I calculate utilities for attribute levels in conjoint analysis in R?

I conducted a stated preference survey in which each respondent had to choose 1 set out of 3 choice sets (A, B and C), which are characterised by 4 attributes (let's say brand, color, size and ...
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### Kendall's tau for holdouts low and not significant - Conjoint

I have done my Conjoint Analysis (fractional factorial design) but when it comes to validating the model, it shows a Kendall's tau for Holdouts of 0.33 and not significant. But Pearson's R and ...
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### Definition of the unobserved term in a discrete choice logit with no attributes of the alternatives

In a discrete choice analysis, with a logit model with attributes of the the person but no attributes of the alternatives, the unobserved/stochastic term is assumed to have a logistic distribution. ...
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### Constructing choice sets for conjoint analysis: how is does a full profile CA use a fractional factorial?

I'm new to conjoint analysis and relatively new to fractional factorial design. In Qualtrics' useful paper here, they say "Each product profile represents a part of a fractional factorial ...
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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 ...
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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 ...
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### Non-converging coefficients in hierarchial Bayes analysis of discrete choice

I am trying to analyse repeated responses from a discrete choice experiment. The DCE had one continuous parameter and five 3-level categorical parameters. I started with a multinomial logit and the ...
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### Off-the-shelf conjoint analysis software?

Any recommendations for easy to use and inexpensive software for conjoint analysis? I took graduate level stats more than a decade ago and would prefer something relatively easy to handle.
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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 ...
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### Sample session for analysis of conjoint data in R

While I have successfully used R for Cluster Analysis and Correspondence Analysis, I'm new to the use of R-project for Choice-Based Conjoint. Per recommendations in this post, I'm looking at the ...
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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 ...
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### Multinomial probit for varying choice set

I apologize in advance for the "how do I run this model in R" question, but it turns out that's the shape my problem has assumed :-). Hopefully I have enough substantive questions surrounding it to ...
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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 ...
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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 ...