Analyzing survey results: filtering with multiple response questions

Filtering is one of the most common and useful means of analyzing survey data, focusing the analysis of survey results to a particular subgroup of survey respondents, such as first time purchasers or families with children under twelve.

Analyzing survey results with filtering can become complicated when multiple response (i.e. check all that apply) questions are included within the filter criteria.  Consider the multiple response survey question illustrated below:

Now consider defining filter criteria with your survey analysis software, checking the McDonald’s and Wendy’s restaurant checkboxes as shown above.

The survey analyst needs to understand that the subgroup of respondents passing the filter criteria may have visited other, and even potentially all of the other, quick service restaurants. A more accurate definition of our example filter would be that the subgroup of respondents visited AT LEAST McDonalds or Wendy’s.

Survey analysis software should equally support identifying respondents that indicated McDonalds and Wendy’s as their ONLY visits, without the need to construct complicated filter criteria that lists all of the individual restaurants.

Software tools well suited for the analysis of survey data will support more complicated filtering criteria such as “visited at least two Mexican food themed restaurants”, “visited at least one seafood themed restaurant and only seafood themed restaurants”, “visited only burger restaurants” and “visited McDonalds and Wendy’s but not Burger King”.

PAI’s mTAB survey analysis software has built in support for multiple response questions, which greatly simplifies the analysis of survey data containing this common survey questionnaire type.

When multiple response questions are selected for respondent filtering, mTAB automatically exposes the multiple response question filtering options that facilitate the example analyses listed above.  For a more detailed illustration of mTAB’s multiple response filtering, please visit the mTAB knowledge base article respondent filtering with multiple response questions.