Blog

In this post I am going to walk through the steps of fitting a structural equation model (SEM) in Q. The post assumes that you…

This post will walk you through how to format your respondent-level conjoint data when programmed using your survey platform of choice. There are many survey…

This title could have also been “Help, my Pick Any shows all 100%!” because this issue comes up for fairly frequently for Q users. Pick…

In our inaugural Channel Q episode, we wanted to cover questions submitted by our users on Brand Tracking. Due to time, we covered these questions…

Text data is one of the great pains of survey analysis. Open-ended questions allow us to obtain data that is less biased by our preconceptions.…

Text data often refers to entities, such as people, organizations, or places. These entities can be automatically extracted from text data, and then used in…

It can often be difficult and time-consuming to organize raw text data into meaningful insights. Manually coding even a single text question can take several…

Categorizing text data can be a time-consuming and expensive activity.  In cases where time is short and budgets low, using automatic categorization of text data…

In a standard choice experiment, respondents are presented with alternatives which have a common set of attributes. Alternative-specific designs relax this requirement and are designed to…

An area chart is based on a line chart, but with the area between the line and the x-axis shaded or colored to illustrate volume.…

Determining the highest rated item within a set of questions involves creating a variable that examines the responses of each respondent, and identifies the question…

  Creating a table of ranks from a crosstab is a simple process in Q. All it requires is a little snippet of R code.…

If you have a license for Displayr’s desktop sister, Q, you may sometimes wish to add some things to your Displayr document from within Q.…

You can use R in Q to create bespoke tables and do flexible data manipulations. In doing so, you end up with tables within R…

One of the standout features of Q is its ability to automatically group variables into questions and identify the question type. This works best when…

A correspondence analysis is the standard tool for creating brand maps. It shows which brands compete with which other brands and the basis for that…

After running a market segmentation, one problem many researchers commonly face is how to go about assigning respondents in subsequent surveys to the existing s...

In market research, you may end up with a data file that contains duplicate records. This post will show you how to identify and remove duplicates in your surve...

Sometimes researchers don’t have a time-date variable, but rather, just an indication of the period in a categorical variable. This can be problematic if ther...

Q contains several useful built-in mathematical functions that make it easy to do calculations on your existing data without having to write JavaScript, Excel formulas…

When analyzing multiple response questions in Q, it's important to understand the sample your numbers are based on.

Merging SPSS files is simple with Q. Here's how to guide on merging data by cases and variables.

If you are running a tracking study you may want to have tables which focus on results just from the latest month or quarter. A…

Do you despise data cleaning? You’re not alone. Too many researchers find data cleaning to be time-consuming, tedious, and tiring. However, starting your analysis with…