To rank respondent choices, you can use the Rating Scale question type.
When creating this question type, you assign a "weight" or value to each column choice to produce a Rating Average in your results. In addition to the weighted columns, you can select to "force" respondents to chose only one selection per column (forced ranking).
Take a quick survey to see how this question type calculates results.
Watch the video demo
This example shows how to create the rating scale question used in our example of question types. (Survey display)

| Select the Rating Scale Question from the question menu |
| |  |

| Enter the question text |

| Enter each Row Choice on a separate line |
| |  |

| Select the number of ratings from the rating drop-down |
| |  |
| | |
Labels and Weight
Enter the label for the columns in each Label field and assign a Weight to each label ("1" for the lowest ranking and so on.) If you select the N/A column, it will automatically be assigned a value of "0" so that it will not affect your results. (This question type allows 16 ratings or column choices. It is not possible to add additional column choices to this question type.)
Add N/A column
The N/A or "Other" option is given a value of "0" so that it does not affect the response average. It is not calculated in the response average because the system assigns a zero value to that column choice and automatically subtracts any responses submitted to the N/A choice when calculating the response average. (See example rating average below)
Forced Ranking

If you check 'Allow Only One Response per Column (Forced Ranking)' under the column name field, respondents will "be forced" to order the row choices by importance.
What does forced ranking do?
When the same column is selected again, the program de-selects the first selection made under that column. Simply, respondents cannot make the same selection more than once as shown in this example survey: Take a quick survey
When setting forced ranking, it is important to note the number of columns and rows you add to the question in order to allow respondents to answer the question as intended.
For example if you create 4 Row Choices, you will need to use 4 ratings (Columns). If you were to add 5 columns or ratings, respondents would not be able to select the 5th column. Instead, when they selected the 5th choice one of the previous responses would be de-selected to select the 5th choice.
Rating Average =
The sum of the frequency times the column weight divided by the Response Count minus the N/A frequency. (The frequency is the number of respondents that selected a column choice. It is the number beside the % selected.)
Column / Weight
- Extremely Important = 4
- Important = 3
- Doesn't Matter Much = 2
- Deal Breaker = 1
- N/A = 0
Here's how the Rating Average for the row Salty shown below is calculated.
| Sum of frequency times column weight: | |
| 21 (4) + 4 (3) + 8 (2) + 1 (1) = 113 | |
| | |
| Sum of selected choices or calculated frequencies: | |
| 21 + 4 + 8 + 1 = 34 | |
| | |
| Sum of frequency times column weight divided by the sum of selected choices: | |
| 113/ 34 = 3.32 | |
| The rating average is 3.32 | |
| This means the respondents selected between columns 3 and 4 or between Important and Extremely Important, but closer to Important or 3. | |
 | |
| 21 respondents or 60 % selected Extremely Important. (The column choice selected most for each row is highlighted with the bold text.) | |
Calculating Row Crunchy
Crunchy: 11 (4) + 13 (3) + 3 (2) + 1 (1) + 2 (0) = 90
90/ (30 - 2) = 3.21
Rating Scale Question type limits:
The rating scale question type allows for 16 column choices or ratings. This means you may create a forced ranking question type with up to 16 ratings or column choices. There is no limit to the number of rows that you may add. If you apply the forced ranking option, however, it is important to include the same number of rows as column choices if you apply the required question option! (16 rows X 16 columns).
 | Common Questions: |
|
| Question |
What happens if I use the same value for all of my answer choices? |
|
| Support Answer |
All of the responses will look like they are the same answer. Here is an example of how your results would look if you used a zero for each of the Weighted Columns. Question Design 
Results
|
|
| Question |
I want to edit a rating scale so the 'Don't Know' response are not counted in the rating average. However, I am unable to mark the 'Add N/A' Column. |
|
| Support Answer |
You must select the N/A option when you create the question. This is the only way to ensure that the 'N/A' column is not included in your rating average. You cannot make this change after you have collected responses. You can only change the question to include an N/A column after you have collected responses would be to delete the responses for that question and then change the way you have created the question. Please note that you must to export the data and then delete the specific question. This deletes only the responses for that specific question. Once you recreate the question, you can re-enter the responses for that question from your export. |
|
| Question |
| Can I create a Semantic Differential Scales or Likert Scale question? |
|
| Support Answer |
Creating the Semantic Differential Scale question type with different bipolar adjectives is slightly more complicated. We do not have a way for you to change the labels for each column heading in a matrix style question. To create the appearance of this type of question, you will need to create multiple questions and use HTML coding to format the question to appear as a single question. Examples in survey format
Ex: How important do you think standardized test scores are for a student's education? Select a number 1 through 5 where 1 is Not very important and 5 is Extremely important. |
Not important | | | | Extremely important | | | 1 | 2 | 3 | 4 | 5 | |
Likert scales assign a score or "weight" to each answer choice, usually from 1 to 5. Usually, the position marked 3 is labeled "neutral," the 2 and 4 positions are labeled "slightly" or "somewhat," the 1 and 5 positions "extremely." A scale like this one measures directionality of a reaction (e.g., good versus bad) and also intensity (slight to extreme). Typically, a person is presented with some concept of interest, e.g., web site design, and asked to rate it on a number of such scales. Ratings are combined in various ways to describe and analyze the person's feelings. Creating the Semantic Differential Scale question type with different bipolar adjectives is slightly more complicated - we do not have a way to change the labels for each option in a matrix style question. To create the appearance of this question type, you must create multiple questions and use HTML coding or edit your page numbers to format the multiple questions to appear as a single question. Click here to see examples in survey format. |