# Blog.

## Choice Modeling.

02 September 2020 | by Oliver Harrison

Introduction Conjoint Analysis: The Basics Main Applications of Conjoint Analysis Webinar: Introduction to Conjoint   Design Experimental Design for Conjoint Analysis: Overview and Examples Writing

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 weâ€™ve talked about, but the idea of this technique is to find peopleâ€™s

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

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.

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...

Understanding Logit Scaling
20 February 2019 | by Tim Bock

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

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

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

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

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.

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,

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.

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

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.

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....

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!

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.

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.

The Efficient Algorithm for Choice Model Experimental Designs
12 September 2018 | by Justin Yap

The Efficient algorithm is a special case of the more general Partial Profiles algorithm. It results in faster computation times.

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.

Comparing Experimental Designs Based on Model Fit
11 September 2018 | by Justin Yap

There are many ways to generate an experimental design. In this post, I compare various algorithms for generating choice model designs based on model fit.

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.

Algorithms to Create your Choice Model Experimental Design
05 September 2018 | by Jake Hoare

I'll show you four algorithms you can use to create the questions for your choice model experimental design. These include random, shortcut and balanced overlap...

How to Set Up a Choice-Based Conjoint Analysis in Qualtrics
27 August 2018 | by Mathew McLean

A choice-based conjoint analysis is a tool used in market research and other fields to determine how consumers choose between competing products.

How to Compute D-error for a Choice Experiment
21 August 2018 | by Justin Yap

This article gives an overview of D-error and demonstrates how to compute D-error by working through an example. Concepts in this article are covered in

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.

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...

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.