User's Manual

SurveyMonkey User Manual
Page 81
Filters:
If you have groups of respondents you want to sort, then Filters come in handy. You
would want to create questions that ask respondents to identify themselves in some
way.
EX: Course evaluations - Pick a course to evaluate and then filter later by
courses.
EX: Office Location - Analyze data according to a specific office location of
respondents.
Cross Tabs:
If you want to compare questions and use cross tabs to prove or disprove a hypothesis
based on those variables, consider what kind of data would work best for the analysis.
EX: Demographics - Do you want to know how men and women differ?
B. Consider the Relevant Questions for the Analysis:
Once you have collected the data and are ready to dig into the numbers, consider
which questions to include in the custom report. Not all of the survey questions may
be relevant to your hypothesis!
From the previous help topic, discussed here, you want to compare how Males and
Females evaluated SurveyMonkey. You are also interested if their overall incomes
affected the product ratings.
You suspect that more women use the product and that if they make between a
certain income range, women are more satisfied with it than males.
With this hypothesis, you want to see the data of only two questions in this report:
The Rating question that asks how respondents evaluated the product.
The Income question that asks respondents to choose into which range they
belong.
(See example on p. 82)