## Choice Modeling.

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

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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…

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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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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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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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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…

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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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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…

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

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

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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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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.

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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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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...

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

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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…

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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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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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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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Experimental designs can be scary. Small mistakes ruin everything. I explain the process I use when doing a rough-and-ready check of an experimental design.

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