What is a CrossTab?
The Crosstab feature is a useful analysis tool commonly used to compare the results for one or more questions/variables with the results of another question/variable.
Crosstabs (cross-tabulation) are basically data tables that allow you to present results in different subgroups and examine relationships within the data that might not be obvious when simply looking at the total sample.
By using crosstabs, you can divide large data sets into subgroups and make quick comparisons between them which will help you analyze your survey results.
How to set it up?
1. In the CrossTab Page, select your Stub Question(s) and Header Question(s) on the drop down list.
New update: Apart from selecting the question on the drop down list, users can also type and search questions on the Stub and Header Question.
Stub Question (side variable)
- You can select as many questions as you want depending on which data/results you want to read or analyze (For example -- Choice of Cellphone brand, Financial Situation).
| Current question types that you can add in Stub Question | Single Choice, Multiple Choice, Rating, Rank Order, Scale, Map, Numeric, Popup Cards, Tradeoff Ranking, NPS Plus, Virtual Question, OE question (after codes exported from AI Coding)
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| Other source questions that you can add in Stub Question | Analysis Variable |
Header Question (top variable or banner)
- You can select as many questions as you want depending on the subgroups you want to read or analyze (For example -- by Country and by Age).
| Current question types that you can add in the Header Question | Single Choice, Multiple Choice, Rating, Rank Order, Scale, Map, Popup Cards, Tradeoff Ranking, NPS Plus, Virtual Question, OE question (after codes exported from AI Coding)
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| Other source questions that you can add in the Header Question | Analysis Variable |
4. If the existing questions are not sufficient to analyze the data sets you require, you can create a new variable and use it for your crosstabs. To learn more about making new variables, please refer to the article here.
Please note: The Dashboard currently allows only one level of header or stub. So if we add multiple questions or variables to the header/stub, the variables will be independent.
For example, if we add concept and gender to the header, the tables will show by concept, and by gender separately. The results/analysis will not be combined for concept AND gender.
If users want to run the analysis by concept AND gender, they need to put concept as a filter and run the analysis by gender for each concept one by one.
1. Toggle on Multi Select first2. Add all your Stub and Header questions3. Click Fetch data (Note: Loading period still varies depending on your sample size)