MaxDiff.

Learn More About MaxDiff
10 September 2020 | by Belinda Bailey

This is a guide for everything you need to know about MaxDiff. It covers the “what is?” and the “how to…” of different approaches to

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Comparing MaxDiff Results from Different Packages
22 February 2019 | by Tim Bock

Different models There are lots of different statistical models that you can use to compute MaxDiff. Some of these get different results from Sawtooth simply

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Comparing MaxDiff Models and Creating Ensembles in Displayr
05 October 2018 | by Jake Hoare

There are a variety of different models available in Displayr to perform MaxDiff analysis. I'll show you how to easily compare the models.

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What is MaxDiff?
11 August 2018 | by Tim Bock

MaxDiff is a survey research technique for working out relative preferences for multiple items. It is also known as maximum difference or best-worst scaling.

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Using Covariates to Improve Your MaxDiff Model
How to use Covariates to Improve your MaxDiff Model
27 July 2018 | by Mathew McLean

Ready to improve the accuracy of your MaxDiff model by including covariates? I'll show how using Hierarchical Bayes for MaxDiff.

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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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Creating Pairwise Balanced MaxDiff Designs
09 July 2018 | by Jake Hoare

Pairwise balanced MaxDiff designs are an improvement upon multiple version designs that have been randomly permutated. I'll show you how you can create your own...

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Checking Convergence When Using Hierarchical Bayes for MaxDiff
16 January 2018 | by Justin Yap

Hierarchical Bayes is an approach to modelling MaxDiff data which can provide better predictive accuracy than other approaches (like latent class analysis).

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Using Hierarchical Bayes for MaxDiff in Displayr
16 January 2018 | by Justin Yap

Getting started Your MaxDiff data needs to be in the same format as the technology companies dataset used in previous blog posts on MaxDiff such

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Case Study: Advanced Analysis of Experimental Data (MaxDiff)
04 December 2017 | by Tim Bock

The fourth in a series designed as DIY training course for Displayr. A case study to introduce the basic workflow for more advanced analyses (e.g, MaxDiff).

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Comparing Tricked Logit and Rank-Ordered Logit with Ties for MaxDiff
17 October 2017 | by Justin Yap

This article compares two ways to analyze Max Diff data - Tricked Logit and Rank-Ordered Logit with Ties - for latent class analysis or Hierarchical Bayes

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11 Tips for your own MaxDiff Analysis
03 August 2017 | by Tim Bock

MaxDiff analysis is an advanced technique that can be run by any good quant researcher. Here are 11 tips to help people relatively new to the field DIY.

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How to Check an Experimental Design (MaxDiff, Choice Modeling)
25 July 2017 | by Tim Bock

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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Using Cross-Validation to Measure MaxDiff Performance
23 May 2017 | by Justin Yap

This post compares various approaches to analyzing MaxDiff data using a method known as cross-validation. Before you read this post, make sure you first read How MaxDiff

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How to Analyze MaxDiff Data in Displayr
23 May 2017 | by Chris Facer

This post discusses a number of options that are available in Displayr for analyzing data from MaxDiff experiments. For a more detailed explanation of how

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How MaxDiff Analysis Works (Simplish, but Not for Dummies)
23 May 2017 | by Tim Bock

This post explains the basic mechanics of how preferences can be measured using the data collected in a MaxDiff experiment.

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How to Create a MaxDiff Experimental Design in Displayr
17 May 2017 | by Tim Bock

Creating the experimental design for a max-diff experiment is easy in Displayr. This post describes how you can create and check the design yourself.

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An Introduction to MaxDiff
10 May 2017 | by Tim Bock

MaxDiff analysis is a technique for measuring relative preferences. This post introduces the four stages of a MaxDiff analysis.

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