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Survey data is often provided in binary file formats which contain metadata about how the data is structured. A common form is the Stata DTA format.

There are three methods of reading Excel files into Q. I'll show you all three and explain when you might one to use each one.

It's easier than you think to create new variables with JavaScript. We'll show you how to create, combine, split and transform your data into new variables.

R is not just a tool for the data science elite. It is an immensely powerful tool that can be used by market researchers in…

When working in Q, there are situations in which you may want to save a new copy of your data file. Some examples include: Removing…

The purpose of the Data tab is to provide a view of the raw data being analyzed in Q. Each row in the Data tab…

There are some situations when your survey data file may contain duplicate values in your record identifier field. This can occur, for example, when some…

The Word Cloud above summarizes some data from tweets by President Trump. The green words are words that are significantly more likely to be used…

Q Research Software, like SPSS, is a powerful analysis and reporting platform for market researchers. However, Q has lots of distinct advantages over SPSS. Here…

Van Westendorp analysis, common in market research, aims to find the optimal price point at which to sell a good or service. You find this…

If you are a Q user, then you will very easily be able to transfer your work by uploading your Q Project directly into Displayr - ready for go!

In our last post on visualizations, we looked at how easy it is to generate visualizations in Q. In that post, we outlined how you can…

Visualizations bring the relationships in your data to life through engaging graphics – all at the tip of your fingers in Q5. These visualizations are made…

Correspondence Analysis in Q

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.

If you have spent much time analyzing survey data, then you have probably spent a lot of time validating it. This normally entails checking that the number…

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…

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…

You can take your correspondence analysis plots to the next level by including images. Here is a guide to creating them in Q.

This post describes how to create and check a MaxDiff experimental design. If you are not sure what this is, best to read A beginner’s…

Relative importance analysis is a general term applied to any technique used for estimating the importance of predictor variables in a regression model. The output is…

Once you have created segments or clusters, you may find it useful to assign people in other data sets to the segments (a process also known as…