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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

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How to handle multicollinearity with varying length and type of conjoint treatments?

We ran a complicated experiment and are struggling to build a linear model that estimates everything we're interested in. We showed each person a description of a product (for illustration, let's say ...
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How can I stack rank 100 items based on head-to-head comparisons?

In an upcoming release of my game I'm planning to add a hundred discrete items players can unlock. I'd like to assign each of these items a sell price and a rarity tier - I obviously have my own ...
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Learn probablistic rank order from lots paired comparisons

Suppose I have $k$ different unknown probability distributions (e.g. $A$, $B$, ...) and I have data that provide examples of draws from pairs of distributions (e.g. $a_1$ and $c_1$, then $b_2$ and $...
Jed's user avatar
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Making inferences on BLUPs/conditional means from multilevel model

We're currently running a conjoint experiment in 26 countries with 2000 participants per country and would like to use a multilevel model. We've done up most of the pre analysis plan and run some ...
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can I cluster standard errors within a multilevel model?

I recognise this is similar to this but I couldn't understand the answer to the question and hence am asking again. Is it possible to use both cluster standard errors and multilevel models together ...
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What is the effective sample size in conjoint experiments?

I am running a conjoint forced-choice survey experiment. The idea is to interview 500 respondents, that will perform 5 choice tasks choosing between 2 profiles. Profiles are fully randomized. My ...
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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....
Johannes Titz's user avatar
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How to do a choice-based conjoint analysis with multiple regression and 3 levels per attribute?

I'm trying to follow these instructions: https://docs.google.com/spreadsheets/d/1Piw0Fk0XCWBJOHhC8NsljvIPywaBmLdNa8QpEV75fHQ/edit#gid=777817907 to do a choice-based conjoint analysis with multiple ...
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1 answer
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How to calculate average importance of factors (attributes) correctly in "conjoint" package (R)?

First, load conjoint package: library(conjoint) Then, I load chocolate data: ...
neves's user avatar
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Using Orthogonal Main Effects Plan to select profiles for conjoint analysis

I am trying to create a code in Python to select orthogonal profiles given some attributes and levels. For eg: ...
DS_1's user avatar
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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 ...
mat's user avatar
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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 ...
C. Schrijver's user avatar
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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 ...
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2 votes
1 answer
548 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 ...
Tumaini Kilimba's user avatar
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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: <...
Felipe D.'s user avatar
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How can I estimate the power of a MaxDiff experiment with covariates?

I am running a MaxDiff experiment where there will be four different "arms". Essentially, a respondent will be assigned to one of four conditions, where they will be shown one of three messages (plus ...
Tom's user avatar
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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 ...
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Conjoint analysis on split-sample?

I've received survey data from a sample of 1000 responses from a choice-based conjoint analysis where a respondent were presented with two cards and had to choose their preferred option. In the survey ...
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1 answer
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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 “...
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1 answer
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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 ...
TinglTanglBob's user avatar
1 vote
2 answers
247 views

How do you avoid clearly better combinations? (Discrete Choice Conjoint Analysis)

I'm trying to run a Discrete Choice Conjoint Analysis for a financial insurance product. When coming up with the cards for the experiment design how do you avoid combinations that are clearly "better"?...
FortuneFaded's user avatar
2 votes
1 answer
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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 ...
Kasper's user avatar
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1 vote
1 answer
127 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 ...
Shashwat Goyal's user avatar
2 votes
3 answers
1k 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 ...
rctoni's user avatar
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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 ...
adrian1121's user avatar
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3 votes
1 answer
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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 <...
user144872's user avatar
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495 views

For conjoint attribute importance calculation, should insignificant attribute levels be included in the calculation?

In the output for Choice-based conjoint, there are some significant and some insignificant output utilities. When calculating attribute importance (using the difference formula), should I exclude ...
user143555's user avatar
3 votes
1 answer
2k 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}}{...
k-zar's user avatar
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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 ...
k-zar's user avatar
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0 answers
478 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,...
Sebastian Sch's user avatar
2 votes
1 answer
746 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 ...
dani's user avatar
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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 ...
Tom's user avatar
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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 ...
StatsTeamNL's user avatar
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581 views

Conjoint Analysis - How they do it?

Theoretically what I know that, for doing Conjoint Analysis I have to make a list of all the possible products with five different features utilizing all the combination of different levels (see ...
RCS's user avatar
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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 ...
Ginagina123's user avatar
1 vote
0 answers
93 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 ...
Artem Shpynov's user avatar
2 votes
0 answers
1k 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 ...
StatguyUser's user avatar
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3 votes
1 answer
2k 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 ...
StatguyUser's user avatar
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7 votes
1 answer
95k 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 ...
elephants_neve_forget's user avatar
5 votes
3 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, ...
elephants_neve_forget's user avatar
3 votes
1 answer
1k 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 ...
Ginagina123's 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 ...
darkage's user avatar
  • 595
5 votes
1 answer
4k 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 ...
StatguyUser's user avatar
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1 vote
1 answer
772 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 ...
LittleWar's user avatar
1 vote
0 answers
326 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 ...
Fabio5's user avatar
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0 answers
3k views

Choice based conjoint with SPSS

Is it possible to run a Choice Based Conjoint analysis (preferably with also no-choice option) with SPSS? Do I need a particular package for that? if not possible with SPSS is it possible with Stata? ...
Fabio5's user avatar
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1 vote
1 answer
967 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 ...
tschakaa51's user avatar
1 vote
1 answer
276 views

What are the right values for the prior mean and prior variance matrix in choice design?

I am doing my first choice experiment with JMP & the tutorial I found here. Right now, I am not sure if I understood everything correct. The author describes how to do the parameterization for an ...
HH.'s user avatar
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1 vote
1 answer
167 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 situation ...
HH.'s user avatar
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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) ...
Eleanor's user avatar
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