Crosstabs are mostly two-dimensional tables that allow you to split your data based on multiple variables and see if there are any significant differences. With our new stacked crosstabs option you can now add another layer to your crosstabs by adding a top-variable (e.g. country) that will further split your data. By leveraging stacked crosstabs, you can save time and uncover richer insights, particularly in multi-market or multi-wave research.
What are stacked crosstabs?
Standard crosstabs allow you to split your data based on multiple variables (e.g., age, gender). Stacked crosstabs takes it one step further by allowing you to add a top-level variable (e.g., country) as well as multiple sub-variables (e.g., age). This additional layer splits your crosstab based on the top variable, providing a more detailed and comprehensive view of your data. We recommend this for larger multi-country or multi-wave surveys.
How to use stacked crosstabs
When creating a crosstab, you can add a stacked variable, and choose from four options: waves, country, age, and gender. These will be the top variable. Additionally, you choose as many sub-variables as desired, such as demographics, answers to specific questions or your own custom segments.
Here’s how it works:
Go to crosstabs
Choose the "Crosstabs" visualisation option on your results dashboard
Select your splits
Add the splits you wish to analyse. These could include specific demographics, answers to questions or custom segments. You can add as many as you’d like.
Add a stacked variable
Next, add your stacked variable. This will be the variable that is on the top level of your table, and all your other variables will go underneath. Once you've added a stacked variable, you can choose from waves, country, age or gender dependent on what you have available for your survey.
Analyse the results
Use the stacked crosstab to identify patterns, trends, and insights that may not be apparent in simpler analyses. For example, you can compare how different genders respond to survey questions across various countries, all in one comprehensive table.
Benefits of stacked crosstabs
Time-Saving: Stacked crosstabs eliminate the need to create multiple separate segments for each country or wave, significantly reducing the time and effort required for analysis.
Comprehensive Insights: By analysing multiple variables simultaneously, you can uncover deeper insights and more complex interactions within your data.
Enhanced Multimarket and Multiwave Research: This feature is particularly beneficial for studies spanning multiple markets or waves, allowing for a more cohesive and integrated analysis.