If you have been in the online surveying business, you have probably heard terms like response rate and completion rate used frequently in articles and research reports and know that the higher the rate’s percentage the better.
But what do they really mean? How are they different? Let’s look at the true definition of both completion and response rates and how they relate to your online survey’s sample group and statistical accuracy.
When it comes to online surveying a completion rate refers to the number of surveys filled out and submitted divided by the number of surveys started by respondents. In other words, only the respondents who have actually entered your survey would be included in this statistic and only those respondents who completed the full survey would increase your completion rate. Below is an example of a calculated completion rate.
I have a survey with the following stats:
Let’s calculate the completion rate.
Completion rate = Number of completed surveys / Number of respondents who entered the survey
Completion rate = 80%
You’ll notice that the completion rate does not rely on the number of people contacted and is strictly based on people’s interaction with your survey. Because of this, a completion rate can, and should, be measured on any survey, including email, intercept, pop-up, embedded, and hybrids.
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Though deceivingly similar in description to completion rates, response rates provide valuable insight into the accuracy of your collected data. Put simply, a response rate refers to the number of people who completed your survey divided by the number of people who make up the total sample group. Here’s an example of a calculated response rate.
I have a survey with the following stats:
Let’s calculate the response rate.
Response rate = Number of completed surveys / Number of emails sent
Response rate = 20%
The important thing to remember is a response rate can only be calculated with a defined sample group. Meaning you need a contact list or record of the number of people being approached to take the survey. Unfortunately, deployment methods like pop-ups and website embeds make it difficult to define the number of people who are presented with the survey and can therefore render any measurement of a response rate unreliable. Usually, response rates are only used when the sample group is controlled by a fixed list of email addresses, telephone numbers, or home addresses.
The trick to eliminating nonresponse bias is to first pretest your survey and later to recognize and resolve any issues as it happens. Remember, there is nothing more detrimental to a survey’s findings than undetected bias. Not only does it hurt the credibility of your data, it will give your finding misleading results allowing you to draw incorrect conclusions.
So now that you know the difference between completion and response rates, you can view the results of surveys with a fresh perspective.
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