Market Research.

Market research is used to figure out how things work. This is often by systematically gathering data about people or companies using surveys.

Here, we write about the main market research techniques. These techniques include correspondence analysis, MaxDiff, and choice modeling. We also share tips and tricks for significance testing. And how to best present market research findings using PowerPoint and online dashboards (sometimes considered a better alternative to PowerPoint) are explored.

Put PowerPoint into Cruise Control: How to Automatically Update Your Reports
14 July 2017 | by Matt Steele

The ability to automatically update PowerPoint slides with new data can save time, money, error, and your sanity. Some analysis software packages allow your reporting to go into…

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Using Q
Customization of Bubble Charts for Correspondence Analysis in Q
08 July 2017 | by Tim Bock

When you insert a bubble chart in Q (Create > Charts > Visualization > Labeled Bubbleplot), you can customize some aspects of its appearance from the…

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correspondence analysis
Using Bubble Charts to Show Significant Relationships and Residuals in Correspondence Analysis
08 July 2017 | by Tim Bock

While correspondence analysis does a great job at highlighting relationships in large tables, a practical problem is that correspondence analysis only shows the strongest relationships, and sometimes…

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Traditional Crosstab
Old-School Crosstabs: Obsolete Since 1990, but Still a Great Way to Waste Time and Reduce Quality
27 June 2017 | by Tim Bock

The table above is what I call an old-school crosstab. If you squint, and have seen one of these before, then you can probably read it. The basic…

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key driver analysis
The Problem with Using Multiple Linear Regression for Key Driver Analysis: a Case Study of the Cola Market
18 June 2017 | by Tim Bock

A key driver analysis investigates the relative importance of predictors against an outcome variable, such as brand preference. Many techniques have been developed for key…

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statistical significance trick
The Magic Trick that Highlights Interesting Results on Any Table
12 June 2017 | by Tim Bock

This post describes the single biggest time saving technique that I know about for highlighting significant results on a table. The table below, which shows…

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Latent class analysis cross-validation
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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max-diff-preferences
How to Analyze MaxDiff Data in R
23 May 2017 | by Chris Facer

This post discusses a number of options that are available in R for analyzing data from MaxDiff experiments, using the package flipMaxDiff. For a more detailed…

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Using Displayr
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 to analyze…

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

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

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max-diff-preferences
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. Before you read this post, make sure you…

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correspondence-analysis-sales
When to Use, and Not Use, Correspondence Analysis
23 May 2017 | by Tim Bock

Correspondence analysis is one of those rare data science tools which make things simpler. You start with a big table that is too hard to…

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correspondence analysis movements
Using Correspondence Analysis to Compare Sub-Groups and Understand Trends
22 May 2017 | by Tim Bock

This post shows how to use correspondence analysis to compare sub-groups. It focuses on one of the most interesting types of sub-groups: data at different points…

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Multiple Correspondence Analysis
Correspondence Analysis Versus Multiple Correspondence Analysis: Which to Use and When?
22 May 2017 | by Tim Bock

Let me cut to the chase. Multiple correspondence analysis sounds better than correspondence analysis. But, for 99% of real-world data problems, correspondence analysis is the…

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How Correspondence Analysis Works (A Simple Explanation)
19 May 2017 | by Tim Bock

Correspondence analysis is a data science tool for summarizing tables. This post explains the basics of how it works. It focuses on how to understand the underlying…

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correspondence analysis movements
How to Interpret Correspondence Analysis Plots (It Probably Isn’t the Way You Think)
19 May 2017 | by Tim Bock

Correspondence analysis is a popular data science technique. It takes a large table, and turns it into a seemingly easy-to-read visualization. Unfortunately, it is not quite…

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Easily Add Logos to a Correspondence Analysis Map in Q
17 May 2017 | by Tim Bock

You can take your correspondence analysis plots to the next level by including images. Better still, you don’t need to paste in the images after…

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correspondence analysis
Easily Add Images to a Correspondence Analysis Map in Displayr
17 May 2017 | by Tim Bock

You can take your correspondence analysis plots to the next level by including images. Better still, you don’t need to paste in the images after…

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