How to Reuse Code Frames in Q
22 January 2019 | by Oliver Harrison

Coding open-ended and ‘other/specify’ responses can often be a tedious task for market researchers. In this post, I will instead show you how to reuse

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How to Code Other/Specify Responses in Q
22 January 2019 | by Oliver Harrison

Coding open-ended responses can often be a tedious and time-consuming task for market researchers, especially when you include an ‘Other/specify’ option and then need to

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How to Code an Open-Ended Question into a Single Response Question in Q
22 January 2019 | by Oliver Harrison

Coding open-ended responses can often be a tedious task for market researchers. In this post, I will show you how to easily code a single

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How to Code Open-Ended Responses with Multiple Mentions in Q
22 January 2019 | by Oliver Harrison

Coding open-ended responses can often be a tedious task for market researchers. In this post, I will show you how to easily code multiple open-ended

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How to Code an Open-Ended Question into a Multiple Response Question in Q
22 January 2019 | by Oliver Harrison

Coding open-ended responses can often be a tedious task for market researchers. In this post, I will show you how to easily code a single

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How to Do Principal Components Analysis in Q
16 January 2019 | by Chris Facer

Principal Components Analysis (PCA) is a technique for taking a large number of variables and creating a new, smaller set of variables. These aim to

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How to Do Advanced Analysis in Q (No Need to Rely on Others)
12 November 2018 | by Chris Facer

Q can do so much more than generating tables. You can do segmentation, key driver analysis, MaxDiff, and a whole range of other advanced techniques.

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Focusing the Results of Correspondence Analysis in Q
26 October 2018 | by Jake Hoare

Correspondence analysis is often used to visualize a table of data. When we are interested in a specific row of the table, the results can be focused.

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How to do Traditional Correspondence Analysis in Q
18 October 2018 | by Chris Facer

Correspondence analysis is a data analysis technique which summarizes the patterns in a table of data as a visualization. Tables with more than a handful

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How to Calculate Sentiment Scores for Open-Ended Responses in Q
18 October 2018 | by Matt Steele

Sentiment analysis is a way to quantify the feeling or tone of written text. In a survey context, this is a useful technique for gauging

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How to do Choice Modeling in Q
09 October 2018 | by Justin Yap

In this article I will go through the basics of fitting a choice model to discrete choice experiment data in Q. I’m going to assume

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3D Correspondence Analysis Plots in Q
07 October 2018 | by Tim Bock

The data In this post I use a table of the following Pick Any – Grid. Correspondence analysis To create a correspondence analysis plot in

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How to Compute D-Error for a Choice Experiment Using Q
04 October 2018 | by Justin Yap

D-error is a way of summarizing how good a design is at extracting information from respondents in a choice experiment. In other articles I provide

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How to Split Text Strings in Q
20 September 2018 | by Daren Jackson

String splitting is the process of breaking up a text string in a systematic way, so that the individual parts of the text can be

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How to Use Simulated Data to Check Choice Model Experimental Designs Using Q
18 September 2018 | by Justin Yap

Running a survey can be expensive and time-consuming. Luckily you can use simulated data to check and compare your survey design, saving you time and

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How to Create a Correlation Matrix in Q
04 September 2018 | by Tim Ali

A correlation matrix is a table of correlation coefficients for a set of variables. They are often used to determine if a relationship exists between

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How to Show Sentiment in Word Clouds using Q
14 February 2018 | by Tim Bock

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

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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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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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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. Here is a guide to creating them in Q.

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How to Create a MaxDiff Experimental Design in Q
10 May 2017 | by Tim Bock

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

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partial least squares
Using Partial Least Squares to conduct relative importance analysis in Q
03 April 2017 | by Jake Hoare

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

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Assigning Respondents to Clusters/Segments in New Data Files in Q
30 March 2017 | by Tim Bock

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

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