Stack Exchange Network

Stack Exchange network consists of 174 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.

Visit Stack Exchange

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

0
votes
0answers
21 views

Can I use the same orthogonal design for conjoint analysis but testing less cards?

So I generated 15 conjoint analysis cards using SPSS orthogonal design (9 cards + 6 holdout cases), then tested only 12 of them (9 cards + 3 holdout), leaving the last 3 holdout cards forgotten in the ...
1
vote
0answers
13 views

Conjoint Analysis coding problem with dual response none [closed]

I made a conjoint analysis with sawtooth software and I implemented the none-option as a dual response, which means that the respondents made a forced choice in the first stage and give an answer to a ...
0
votes
0answers
21 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: <...
0
votes
0answers
50 views

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 ...
0
votes
0answers
46 views

Interpreting the results of hierarchical bayes model including one covariant using ChoiceModelR

There are 5 different features of a product (in this case gyms): ambiente, trainingstools offered, atmosphäre, gastronomie and location. Within the participants there are people who train on a ...
0
votes
0answers
10 views

Joint estimation for same set of independent variables for different but corralated dependent variables

I am using cross country data to regress the different income deciles (Di) on the same macroeconomic indicators, which gives a set of equations of the form. D1= B1x + u1 D2= B2x + u2 .... D10= B10x + ...
2
votes
0answers
19 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 ...
0
votes
0answers
11 views

I have carried out a market research employing conjoint analysis using pair-wise testing

My research on the computer repair services industry has 4 attributes: 1) Price 2) Reliability 3) Establishment 4) Convenience and the relevant levels are: 1) Price: a) Price 2) Reliability: ...
0
votes
1answer
185 views

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 ...
0
votes
0answers
181 views

Rstats: 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 “...
1
vote
0answers
55 views

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 ...
0
votes
1answer
31 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"?...
0
votes
0answers
49 views

Which statistic should i use?

I don't know which statistic i should use for my situation: I have 30 spaceships with different caracteristics. I need to buy one, how to chose if i don't know all and their characteristics? The ...
1
vote
1answer
52 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 ...
1
vote
1answer
65 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 ...
1
vote
3answers
244 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 ...
1
vote
1answer
207 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 ...
0
votes
0answers
50 views

hierarchical bayes - 'no choice' alternative

When using hierarchical bayes for conjoint analysis, if I have a fixed utility score of 0 for a 'None of the above' option and two utility scores for price and delivery time. How can the 'none of ...
1
vote
1answer
276 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 <...
0
votes
1answer
159 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 ...
2
votes
1answer
549 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}}{...
0
votes
0answers
89 views

Rating Conjoint analysis

I performed a fractional factorial rating conjoint analysis, where 158 people rate on a 7-point scale 20 different pictures of food packages (which varied in colour (5), type of package (2), shape (2) ...
1
vote
0answers
77 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 ...
1
vote
0answers
264 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,...
2
votes
1answer
484 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 ...
2
votes
0answers
272 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 ...
2
votes
1answer
898 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 ...
0
votes
0answers
347 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 ...
1
vote
0answers
149 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 ...
1
vote
0answers
60 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 ...
2
votes
0answers
498 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 ...
2
votes
1answer
572 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 ...
4
votes
1answer
44k 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 ...
3
votes
2answers
2k 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, ...
3
votes
1answer
682 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 ...
1
vote
1answer
3k 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 ...
2
votes
1answer
1k 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 ...
1
vote
1answer
329 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 ...
1
vote
0answers
253 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 ...
0
votes
0answers
2k 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? ...
1
vote
1answer
518 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 ...
0
votes
1answer
113 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 at http://blogs.sas.com/content/jmp/2009/01/15/optimal-design-of-the-choice-experiment/ Right now I am not sure if I ...
1
vote
1answer
108 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 ...
1
vote
0answers
1k 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) ...
2
votes
1answer
230 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 ...
0
votes
2answers
1k views

Hierarchical Bayes estimation in Conjoint Analysis

I require some assistance with HLM Conjoint Analysis. Say a preference-survey asks multiple respondents which of three products they prefer, using different combinations of product features (each ...
2
votes
1answer
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 ...
-1
votes
1answer
5k views

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 ...
2
votes
0answers
974 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'...
2
votes
2answers
875 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 ...