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.

QW: crocodile survey 3 and 4 no numbers

This worksheet only covers category variables (variables with coded answers).


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.

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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.

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Step 2: Showing several variables in the same cross-tab

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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.

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