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The following is an example of a semantic differential scale question.Semantic Differential Scale Survey Example: Notice that unlike the rating scale, the semantic differential scale does not have a neutral or middle selection.

You may request that the options be ranked based upon a particular attribute. If you allow ties, several options will have the same scores.

Rank order scaling Survey Example: A rating scale question requires a person to rate a product or brand along a well-defined, evenly spaced continuum.

Rank order scaling question allow a certain set of brands or products to be ranked based upon a specific attribute or characteristic.

Perhaps we know that Toyota, Honda, Mazda, and Ford are most likely to be purchased.

We suggest that you should also check out: Sample Surveys with Sample Survey Questions and Question Types, to get an even better subject matter expertise.

The dichotomous survey question is generally a "yes/no" question.

In the following sample survey example, the respondent will select exactly one answer from the 7 possible options, exactly 3 of the 7, or as many of the 7 options (1, 2, 3, or up to 7 answers can be selected).

Survey Example: For this type of question, it is important to consider including an "other" category as there may be other avenues by which the person first heard about your site that you might have overlooked.

Example: A constant sum survey questions permits collection of "ratio" data, meaning that the data is able to express the relative value or importance of the options (option A is twice as important as option B) Constant Sum Survey Example: This type of question is used when you are relatively sure of the reasons for purchase, or you want input on a limited number of reasons you feel are important.

Questions must sum to 100 points and point totals are checked by javascript.

The Open Ended survey question seeks to explore the qualitative, in-depth aspects of a particular topic or issue. Although open-ended questions are important, they are time-consuming and should not be over-used.

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