MaxDiff.
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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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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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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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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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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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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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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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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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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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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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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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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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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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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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This post explains the basic mechanics of how preferences can be measured using the data collected in a MaxDiff experiment.
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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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MaxDiff analysis is a technique for measuring relative preferences. This post introduces the four stages of a MaxDiff analysis.
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