
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…
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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…
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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…
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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…
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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.…
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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…
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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…
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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…
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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…
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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.…
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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…
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Creating a table of ranks from a crosstab is a simple process in Q. All it requires is a little snippet of R code.…
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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.…
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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…
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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…
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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…
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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...
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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...
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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...
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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…
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When analyzing multiple response questions in Q, it's important to understand the sample your numbers are based on.
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Merging SPSS files is simple with Q. Here's how to guide on merging data by cases and variables.
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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…
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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…
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