QuickSurvey’s advanced survey reporting tool allows you to crosstab any of your questions against each other, create subpopulations, filters and much more. Subpopulations can be helpful when you want a more in-depth look at your respondents.
- Subpopulation: is used to define a group of respondents based on additional characteristics from the survey or a subset of the total sample. Females would be a Subpopulation of the total population that included males and females.
- Cross-tabulations: Or “Crosstab” is when you break out answers to questions by different groups of people (e.g., men versus women, city versus city, young versus old, Ad A versus Ad B, etc.).
- Banner: The heading for a page of cross-tabulations.
When creating a subpopulation, you are selecting those groups of respondents based on their answers or combinations of multiple answers.
There are four types of subpopulations:
- Simple - Uses “or” between the different questions of the survey
- Advanced - Can define complex and/or logic between groups
- Nested - Create a tree of groups within groups (These groups will be based using “and” logic. An example would be “nested” age and gender resulting in people who are both female and between the ages of 18-34
- Category - Used to display multiple groups, although each group remains independent
Today we’ll start simple, and create a basic subpopulation:
You will be able to create subpopulations in the data from the “Analyze” drop down in your reporting dashboard.
To start, select “Subpopulations” in the drop down.
You can also achieve this by clicking the shadow figures just to the right of the drop downs:
From there, create subpopulations from the options listed here:
Once your subpopulations are created and saved in your subpopulation window, click inside the gray margin to the left of the subpopulation description.
A check mark should appear in the margin. From there, select “Cross with all” at the bottom right-hand portion of the window, and your subpopulations will be created within your Data.
After you cross the subpopulation with your data, you will be able to analyze the different subpopulations.
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