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

Filter by
Sorted by
Tagged with
18 votes
8 answers
15k views

Conjoint Packages for R

Could you recommend an easy to use or comprehensive conjoint analysis package for R?
8 votes
2 answers
3k views

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 ...
user avatar
8 votes
1 answer
327 views

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 ...
user avatar
  • 1,110
7 votes
1 answer
91k views

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 [closed]

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 ...
user avatar
5 votes
2 answers
1k views

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 ...
user avatar
  • 482
5 votes
2 answers
3k views

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, ...
user avatar
4 votes
1 answer
3k views

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 ...
user avatar
4 votes
1 answer
4k views

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 ...
user avatar
4 votes
1 answer
301 views

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 ...
user avatar
4 votes
0 answers
2k views

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) ...
user avatar
  • 41
3 votes
1 answer
6k views

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 ...
user avatar
  • 3,525
3 votes
1 answer
1k views

Choice based conjoint latent class analysis in R

How can we perform Latent class Analysis for choice based conjoint data, to both segment respondents and determine co-efficients for attributes at the same point of time? I know there is a package ...
user avatar
3 votes
2 answers
1k views

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 ...
user avatar
3 votes
1 answer
540 views

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 <...
user avatar
  • 31
3 votes
1 answer
1k views

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}}{...
user avatar
  • 315
3 votes
1 answer
1k views

Conjoint Analysis - Incorporating individual-specific intercept

We are new here, and have recently gotten a question that we have very much been struggling to answer. It is concerning a question regarding a conjoint analysis in which we have to incorporate an ...
user avatar
3 votes
1 answer
947 views

For a conjoint analysis in SPSS, I have 16 cards, but some combinations are unrealistic. Do I still include them in my survey and analysis?

I ran an orthogonal design for my conjoint plan and ended up with 16 cards to test. However, not all combinations make sense in the real world. I'm afraid that if I exclude the cards that are ...
user avatar
3 votes
0 answers
788 views

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 ...
user avatar
  • 255
3 votes
1 answer
332 views

Conjoint analysis or discrete choice analysis ? And which software?

Suppose I would like to model the light-bulb preference of respondents. I would like to ask their preferences between existing bulbs on the market. And when you choose a bulb in a shop you usually see ...
user avatar
  • 528
2 votes
3 answers
809 views

'No choice' option in conjoints

I have data from a conjoint with a "no choice" option. I am not sure, however, how I should model it. From reading the literature, I understand I should add a no-choice constant, but I am not sure how ...
user avatar
  • 21
2 votes
1 answer
238 views

Conjoint Analysis in R and SPSS result in Different Standard Errors using Same Data

I have been going through the tutorial by the author of the conjoint library in R (Tomasz Bartłomowicz) which can be found here. Specifically I have been going through example 1 (Ice Cream) and trying ...
user avatar
2 votes
1 answer
4k views

Preparing a survey questionnaire

I have want to prepare a survey, the data from which will be used for conjoint analysis. The next phase would require doing a price elasticity study. The study is for a cosmetic product.The company ...
user avatar
  • 575
2 votes
1 answer
2k views

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 ...
user avatar
  • 609
2 votes
1 answer
138 views

How should I shuffle a sample into multiple choice options?

We have a database of 10.000 products, each of them having 5 important features such as color and price. One of the features is the popularity of the product. I am building an app that quickly wants ...
user avatar
  • 3,079
2 votes
1 answer
650 views

Conjoint analysis in R

I am doing a conjoint analysis with stated choice probabilities. I have collected data on smartwatches preferences but asked the respondents not for a single choice but to allocate preferences. For ...
user avatar
  • 29
2 votes
0 answers
38 views

Calculating a similarity score based on both nominal and scale variables

I'm currently writing my master thesis on the importance of deep-level similarities between a mentor and mentee for the mentorship effectiveness. In order to test this, I've had 5 respondents ...
user avatar
  • 21
2 votes
0 answers
954 views

BIBD or IBD or PBIBD

I use block design for discrete choice experiment. While Balanced incomplete block design(BIBD) is considered as gold standard for blocking in choice experiments. However this is not always possible ...
user avatar
2 votes
0 answers
1k views

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 Kendall'...
user avatar
  • 23
2 votes
0 answers
861 views

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 ...
user avatar
2 votes
0 answers
1k views

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 ...
user avatar
1 vote
1 answer
3k views

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.
1 vote
1 answer
119 views

conjoint or something else

I have shown customers two products with certain attributes and asked them to select one of the products. I have done this 12 times with different combinations for each customer. I have a total number ...
user avatar
1 vote
1 answer
835 views

CBC analysis using choicemodelr - interpretation of the output attribute values

I finished a choice-based conjoint (CBC) survey. Now i am evaluating my results with the R-Package "ChoiceModelR". With this i get Beta Values, with which i can, for example, compute attribute ...
user avatar
1 vote
1 answer
261 views

Choice Conjoint-Analysis design for 2-way interactions

I want to set up a design for a conjoint-analysis with 5 Variables X1, X2, X3, X4, X5. All variables are factors. X1 can have 5 different realisations, X2 can have 3, X3 can have 4, X4 can have 3 and ...
user avatar
1 vote
1 answer
644 views

Experimental (factorial) design not exploiting the variance

I want to construct a design to use Choice Based Conjoint Analysis. I want to focus on D-Optimality, for that reason I use the R package AlgDesign which uses Fedorov Algorithm. I create 7 attributes ...
user avatar
1 vote
1 answer
158 views

Probability in choice experiments

I just started to get into the theory of probability/choice experiments and there are some topics that I don't understand. Hope you can help me to get the hang of it. Lets say the following ...
user avatar
  • 25
1 vote
0 answers
10 views

Condition logit model: Weighted mean of ratios of coefficients of subgroups does NOT equal the ratios of coefficients of the whole sample, why?

I am well aware that when one splits the sample into subgroups (e.g. sex, country, whatever), and then estimates any logistic regression model, the coefficients are not comparable between (otherwise ...
user avatar
1 vote
0 answers
9 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....
user avatar
1 vote
1 answer
59 views

Conjoint analysis for continuous choice

I am new to conjoint analysis and have been following a tutorial based on the mlogit package in R. However, I can't apply this modeling technique to my data for ...
user avatar
  • 639
1 vote
0 answers
55 views

Conjoint analysis: bias due to no-choice option and linear attribute

At the moment I am analysing survey data using Bayesian estimation in R (bayesm package) For my analysis, I have included a no-choice option that is coded as a series of zeros. However, I also have a ...
user avatar
1 vote
0 answers
19 views

Modeling stated preference alternative labels vs alternative characteristic levels

I have data from a stated preference survey in which each respondent answers 3 questions each with 3 alternatives. A status_quo / opt-out alternative is the first option for all questions. The ...
user avatar
  • 11
1 vote
0 answers
118 views

Experimental design for discrete choice response

I'm designing a survey where people need to choose one of three transportation alternatives. Here are the alternatives, their specific factors/attributes and the levels I intend to use for each: <...
user avatar
  • 238
1 vote
1 answer
685 views

From Discrete choice to Conjoint utilities

I'm having trouble figuring out how to correctly calculate conjoint part-worth-utility from a discrete choice experiment. I have recently run a pilot study to analyse in R where I used the packages “...
user avatar
  • 11
1 vote
0 answers
101 views

Utility partworths from dicrete choice experiments

Is it possible to estimate utility partworths from a discrete choice experiment (DCE)? For example, if you construct a DCE using the R package support.CEs and ...
user avatar
  • 315
1 vote
0 answers
415 views

Full-Factorial Design (3^2): Not sure about right method for analysis

I ran an experiment (online-survey) showing venture capitalists 9 fictional startups that only differed in factor 1 and factor 2. Both factors had three levels: Factor 1 = 50,250,450; Factor 2 = 0.5,1,...
user avatar
1 vote
0 answers
231 views

How do I deal with split samples for conjoint in SPSS?

We ran a survey of a sample of over 4,000 where we asked about 16 cards (product combinations). To combat survey fatigue, we randomly assigned each respondent 4 of the cards, so that every respondent ...
user avatar
1 vote
0 answers
89 views

Adding variables to conjoint

Could you please help me with conjoint analysis. I would like to conduct choice based conjoint. I have created attributes and levels of the product. My dependent variable is willingness to pay. So ...
user avatar
1 vote
1 answer
678 views

Likert Scale vs Conjoint Analysis. Which to use? [closed]

I am planning to conduct a questionnaire to obtain information of a tenant's perspective on management in a building. I would need to ask the tenants to fill up the questionnaire about how important ...
user avatar
1 vote
0 answers
314 views

Conjoint Analysis Simulation SPSS - excluded subjects

With SPSS when I run a simulation with conjoint analysis I got this message: "142 out of 155 subjects are used in the Bradley-Terry-Luce and Logit methods because these subjects have all nonnegative ...
user avatar
  • 11
1 vote
0 answers
491 views

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 ...
user avatar