Conjoint Analysis.

Optimizing your Conjoint Analysis Simulator in Displayr
31 August 2020 | by Oliver Harrison

The choice simulator is one of the main objectives of choice-based conjoint analysis. This allows you to predict the effect of different scenarios on preference

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Formatting Data for Running Conjoint in Displayr
21 August 2020 | by Oliver Harrison

There are many survey platforms that do not come with their own built-in choice-based conjoint question type. This then poses the question of how to

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Using Choice-Based Conjoint in Pricing Research Studies
25 February 2020 | by Julia Sullivan

This one is a bit more complicated than the first five techniques we’ve talked about, but the idea of this technique is to find people’s

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Using the Value Equivalence Line (VEL) with Conjoint Simulators
31 January 2020 | by Tim Bock

The value equivalence line is a useful concept for setting pricing strategies in markets where products vary in terms of their overall levels of benefits

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Computing Willingness-To-Pay (WTP) in Displayr
31 January 2020 | by Tim Bock

This post explains the basics of computing willingness-to-pay (WTP) for product features in Displayr. Step 1: Estimate a choice model with a numeric price attribute

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Creating Demand Curves Using Conjoint Studies
10 December 2019 | by Tim Bock

It shows how likely people are to make purchases at different price points. There are lots of different ways of estimating demand curves. In this

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Reordering Attribute Levels in Conjoint Analysis Models in Displayr
29 July 2019 | by Tim Bock

Reordering attribute levels in a conjoint analysis model can make results easier to interpret. For example, setting a standard option as the baseline in your co...

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How to Analyze Dual-Response ‘None of These’ Conjoint Models in Displayr
29 July 2019 | by Tim Bock

In practical terms, the sample size is reduced in proportion to the frequency with which the “None of these” option is chosen. A way to

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How to Check a Choice-Based Conjoint Model
05 March 2019 | by Tim Bock

Conjoint analysis allows us to make predictions about the future. This post walks through the 7 stages involved in checking a choice model.

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Comparing HB Root-likelihood (RLH) Between Displayr and Sawtooth
01 March 2019 | by Justin Yap

In this post, I compare the ways Displayr and Sawtooth implement the Hierarchical Bayes (HB). I used both an in-sample data and holdout data for testing.

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Creating Online Conjoint Analysis Choice Simulators Using Displayr
28 February 2019 | by Tim Bock

Creating the simulator Create a choice model of the conjoint using hierarchical Bayes (HB), latent class analysis or Multinomial logit in Displayr (Insert > More

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Adjusting Conjoint Analysis Simulators to Better Predict Market Share
28 February 2019 | by Tim Bock

This post describes four methods for adjusting choice simulators from conjoint studies so that they better fit market share: change the choice rule, modify availability,

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Testing Whether an Attribute Should be Numeric or Categorical in Conjoint Analysis
27 February 2019 | by Tim Bock

Choosing whether to use a numeric or categorical variable in a Conjoint Analysis is a difficult decision to make. With Displayr, there is a straightfoward way t...

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Understanding Logit Scaling
20 February 2019 | by Tim Bock

Example: choice-based conjoint analysis utilities Consider the utilities plot below, which quantifies the appeal of different aspects of home delivery. If you hover over the mouse plot

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Numeric Attributes in Choice-Based Conjoint Analysis in Displayr
14 February 2019 | by Tim Bock

Step 1: Set up and estimate the choice model treating all the variables as categorical Start by setting up the choice model keeping all the

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Numeric versus Categorical Price Attributes in Conjoint Analysis
13 February 2019 | by Tim Bock

The difference between a numeric and categorical price attribute The chart below illustrates the the implications of treating price as being categorical versus numeric. When

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Checking Convergence When Using Hierarchical Bayes for Conjoint Analysis
06 February 2019 | by Justin Yap

Please read How to Use Hierarchical Bayes for Choice Modeling in Displayr prior to reading this post. There are a number of diagnostic tools that you

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Performing Conjoint Analysis Calculations with HB Draws (Iterations)
11 December 2018 | by Tim Bock

Analyses of the data from conjoint analysis should take into account the uncertainty that we have about the estimates of people's utilities.

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12 Techniques for Increasing the Accuracy of Forecasts from Conjoint Analysis
11 December 2018 | by Tim Bock

There are many ways you can increase the chance that the forecasts from your choice model are accurate. In this post, we take you through 12 of them.

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blackboard with choice and arrows
Experimental Design for Conjoint Analysis: Overview and Examples
05 December 2018 | by Tim Bock

This post introduces the key concepts in designing experiments for choice-based conjoint analysis (also known as choice modeling or CBC).

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Data Visualization for Conjoint Analysis
04 December 2018 | by Tim Bock

While choice-based conjoint analysis represents one of the more sophisticated techniques used in market research, presentation of its results commonly consists only of a simulator,

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Using Substitution Maps to Understand Preferences in Conjoint Analysis
04 December 2018 | by Tim Bock

The main output from conjoint analysis is typically a choice simulator. However, substitution maps better show the underlying preferences.

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Using Indifference Curves to Understand Tradeoffs in Conjoint Analysis
04 December 2018 | by Tim Bock

Indifference curves are a way of showing relative preferences for quantities of two things (e.g., preferences for price versus delivery times for fast food). This

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How to calculate sample size
Sample Size for Conjoint Analysis
04 December 2018 | by Tim Bock

Working out the sample size required for a choice-based conjoint study is a mixture of art and science. The required sample size depends on many factors.

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Writing a Questionnaire for a Conjoint Analysis Study
14 November 2018 | by Tim Bock

This post gives you ten top tips for writing your questionnaire for your choice modeling study. It's a must read for all those conducting choice-based conjoint....

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Main Applications of Conjoint Analysis
14 November 2018 | by Tim Bock

Want to know when and why you would do choice modeling? Discover all about the main applications of choice modeling and choice-based conjoint here!

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choice modeling
Conjoint Analysis: The Basics
14 November 2018 | by Tim Bock

Choice modeling can be tricky. Luckily we've covered the basics so you can learn everything choice modeling and choice-based conjoint analysis.

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man looking at papers on wall
Comparing Choice Models and Creating Ensembles in Displayr
08 October 2018 | by Jake Hoare

Alternative-specific choice model designs are used where alternatives are described by different qualities, rather than all attributes being the same.

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Using Displayr
How to do Choice Modeling in Displayr
06 October 2018 | by Justin Yap

You can use either hierarchical Bayes or latent class analysis to do choice modelling in Displayr, making it easy to create your designs.

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Using Displayr
How to Use Simulated Data to Check Choice Model Experimental Designs Using Displayr
18 September 2018 | by Justin Yap

Running a survey can be time-consuming and costly. Check your choice model experiment design using simulated data to save yourself the expense.

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man looking at papers on wall
The Partial Profiles Algorithm for Experimental Designs
12 September 2018 | by Justin Yap

In partial profiles designs, a specified number of attributes are held constant in each question. This reduces the cognitive effort for respondents.

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Using Displayr
How to Compute D-Error for a Choice Experiment Using Displayr
10 September 2018 | by Justin Yap

D-error is way of summarizing how good or bad a design is at extracting information in a choice model. Find out how to compute it in Displayr.

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D-error sawtooth cbc
How to Compute D-Error for a Sawtooth Software CBC Experiment
05 September 2018 | by Justin Yap

D-error summarizes how good a design is at extracting information in a choice experiment. Find out how to compute it fo a Sawtooth Software CBC Experiment.

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man looking at papers on wall
How to Create Alternative-Specific Choice Model Designs in Displayr
16 August 2018 | by Jake Hoare

Alternative-specific choice model designs are used where alternatives are described by different qualities, rather than all attributes being the same.

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The Accuracy of Hierarchical Bayes When the Data Contains Segments
26 July 2018 | by Tim Bock

In this post I explore the implications of using hierarchical Bayes versus using latent class analyis for data which contains segments.

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How to Use Hierarchical Bayes for Choice Modeling in Displayr
24 July 2018 | by Mathew McLean

Using Hierarchical Bayes for Choice Modeling doesn't have to be difficult. I'll show you how to do it easily in Displayr.

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How Good is your Choice Model Experimental Design?
20 July 2018 | by Jake Hoare

Assessing design quality in terms of balance can involve hundreds of numbers. What if I showed you a way to use a few key metrics to summarize your design quali...

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Choice Simulator
How to Create an Online Choice Simulator by Hand
22 August 2017 | by Tim Bock

A worked example is used to show how to create an online choice simulator (conjoint simulator). Calculations are done in R & it is hosted in Displayr.

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