Conjoint Analysis.

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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