Yes, you can delete Surveymonkey responses. To do so, click on the “responses” tab, then click on the trashcan icon next to the response you wish to delete.
- Log in to your SurveyMonkey account and select the survey for which you want to delete responses
- Click the “responses” tab and then click the “view responses” button
- Select the responses you want to delete by clicking the checkbox next to each one
- Click the “delete selected responses” button at the bottom of the page

Credit: www.surveymonkey.com
Can You Delete Data from Surveymonkey?
Yes, you can delete data from SurveyMonkey.
Can You Edit a Surveymonkey Response After Submitting?
It is not possible to edit a SurveyMonkey response after submitting. Once you have submitted your response, the only way to change it is to contact the survey creator and ask them to make the changes for you.
How Do I Hide Responses in Surveymonkey?
If you want to hide responses in SurveyMonkey, there are a few different ways you can do this.
One way is to set up your survey so that it’s password protected. This means that only people who have the password will be able to access the survey results.
To do this, go to “Edit Survey” and then click on “Password Protect This Survey.”
Another way to hide responses is to use respondent conditions. With this option, you can choose to only show certain questions or pages of the survey to certain respondents.
For example, you could create a condition so that only respondents who answer “yes” to a certain question will see the rest of the survey. To set up respondent conditions, go to “Edit Survey” and then click on “Logic.”
Finally, you can also choose to make individual questions or answers anonymous.
This means that those questions or answers will not be linked to any specific respondent. To do this, go to “Edit Survey” and then click on the question or answer you want to make anonymous. Then click on the anonymity icon (it looks like a mask).
What Do You Do With Incomplete Survey Responses?
There are a few different things you can do with incomplete survey responses. One option is to simply ignore them and only analyze the complete responses. Another option is to try to impute the missing data, either using the average of other responses or using a more sophisticated technique like multiple imputation.
Finally, you could also choose to weight the data so that respondents with complete data are given more importance.
How to Delete a Survey in Surveymonkey
If you need to delete a survey in Surveymonkey, there are a few simple steps you can follow. First, log in to your Surveymonkey account and select the surveys tab. Then, find the survey you want to delete and click on the trash can icon next to it.
Finally, confirm that you want to delete the survey by clicking “OK” on the pop-up window.
Unit Non Response Example
When conducting a survey, unit nonresponse occurs when the unit of interest is not included in the sample. This can happen for a number of reasons, including refusal to participate, inability to be reached, or lack of eligibility. Nonresponse can also occur at the item level, when respondents skip over questions or fail to provide answer choices.
Unit nonresponse can introduce bias into your results if not accounted for properly. For example, if units that are more difficult to reach are less likely to be included in the sample, then your results will be biased toward easier-to-reach units. To account for this possibility, you need to use weighting methods that adjust for the probability of each unit being included in the sample.
Item nonresponse can also introduce bias if respondents who skip certain questions do so systematically. For example, if respondents who are asked about their income are more likely to skip the question than those who are not asked about their income, then your results will be biased toward lower incomes. To account for this possibility, you need to use imputation methods that replace missing values with plausible estimates based on other available information.
Cleaning Survey
Are you a clean freak or a bit of a slob? Do you like to keep your home sparkling or are you happy with a little dust? Whatever your cleaning habits, we want to know all about them!
Take our survey and let us know how often you clean, what you like to clean and whether you think cleaning is therapeutic or just a necessary evil.
We all have different attitudes towards cleaning. Some of us love it, some of us hate it – but most of us have to do it!
Whether you’re scrubbing the floors or doing the dishes, cleaning can be therapeutic, cathartic even. It can also be a drag, an unwelcome chore that has to be done.
Whatever your opinion, we want to hear it!
Tell us how often you clean, what kind of things you like to clean and whether you find the whole process relaxing or not. We’ll use your responses to compile some tips on making cleaning less of a chore – so everyone can enjoy a spotless home without all the effort!
Surveymonkey Filter Results
SurveyMonkey is a powerful tool for conducting online surveys, but it can be tricky to get the results you want if you don’t know how to use the filters properly. In this blog post, we’ll take a look at how to use SurveyMonkey’s filters to get the most out of your survey results.
When you create a survey in SurveyMonkey, you have the option to add filters to your questions.
These filters allow you to specify what kind of responses you want to see. For example, you can filter by response type (e.g., multiple choice, open-ended), question type (e.g., satisfaction rating, Likert scale), or custom criteria that you define yourself.
To add a filter to a question, click on the “Add Filter” button beneath the question.
This will bring up a window where you can select the desired filter(s). Once you’ve added all desired filters, click “OK” and your changes will be saved.
Now that we know how to add filters, let’s take a look at how they can be used effectively.
One common use for filters is to remove outliers from your data. For example, if you’re conducting a satisfaction survey and one respondent gives a rating of 1 out of 10, this is likely an outlier and not representative of the rest of your respondents. By filtering out ratings below 5, we can eliminate this outlier and get a more accurate picture of overall satisfaction levels.
Another common use for filters is to segment your data by groups. For instance, if you’re surveying employees about their job satisfaction levels, you might want to segment your results by department or job title. This would allow you to see which groups are generally more satisfied with their jobs and identify any areas where there may be room for improvement.
Filters are a powerful tool that can help make sense of complex data sets.
Conclusion
If you need to delete SurveyMonkey responses for any reason, you can do so directly from the survey results page. Simply click the “Delete” button next to the response you want to remove. You can also delete multiple responses at once by selecting the checkboxes next to each one and then clicking the “Delete Selected” button.