Crosstab analysis
In statistics, the Crosstab (also known as a contingency table) is a matrix table displaying the multivariate frequency distribution of variables across multiple questions.
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To view the crosstab of questions in your survey, click on the Crosstab item under the Reports menu item. The question chosen to show as the Rows is your primary question, and the Columns will be your comparison question.
How to generate a Crosstab
To generate a cross tab, follow these steps:
- In the Rows dropdown, select a question
- In the Columns dropdown, select a comparison question
- Click on Analyze Cross Tabulation
NOTE: Crosstab does not apply to open-ended questions.
After clicking on the analyze button, you will be shown a contingency table comparing the Rows vs the Columns.
Reading a Crosstab
Here is example where we are comparing Gender against Handedness.
| Right-handed | Left-handed | Total | |
|---|---|---|---|
| Male | 43 | 9 | 52 |
| Female | 44 | 4 | 48 |
| Totals | 87 | 13 | 100 |
Say we chose to look at Male vs Right-handed. We would find the following:
- 52% of the sample size were Male.
- 87% of the sample size were Right-handed.
- 43 of 52 (82.7%) of the sample who chose Male as their gender, also indicated that they are Right-handed.
Reading a FourEyes Crosstab
In FourEyes, we make this even easier on you, by providing you with not only a matrix table comparing the two questions, but also show a heat-map of choices directly in the table and a bubble matrix chart below to see a different visual view of the results.
From this crosstab, lets look at people who do not walk their cat.
- Of the 43 respondents, 23 (53.4%) indicated that they do not walk their cat.
- Of the 23 who do not walk their cat, 11 (47.8%) indicated their cat was red.
We could propose that people who own red cats are much less likely than the rest of the sample to walk their cats.
This basic example only demonstrates possibilities, and you should be sure to double check and confirm your own findings.