This worksheet explains how to set up cross-tabs (pivot tables, contingency tables) in Snap. It assumes that you have a questionnaire with four questions (shown below) and shows you how to create a single table combining the data from the four questions.
This worksheet only covers category variables (variables with coded answers).
Background
Snap allows you to create cross-tabs and charts from category variables where one variable’s codes provide the columns and another variable’s codes provide the rows. It is possible to combine category variables in your analysis.
Step 1: Creating a simple cross-tab and dealing with missing responses
This shows you how to create four simple cross-tabs showing people’s liking for cheese and chocolate by age and gender and then shows how to combine them into a single table. It also discusses missing answers. If you add percent scores to your cross-tabs, you need to be clear if you are displaying a percentage of all those who took the survey or all those who answered the question. You can include or exclude respondents who have not answered a question.
Step 2: Showing several variables in the same cross-tab
Conclusion
This worksheet has described how to combine several variables in a single analysis
You can see more about analysis in the section Analyzing your case data
There is a description of Operators in the Analysis and Break fields in the help.
There is a reference list of all possible Axis Expressions (expressions that you can use in the analyses axes) in the help.
If there is a topic you would like a worksheet on, email to snapideas@snapsurveys.com