Hi,

Instead of excluding questionnaires with obviously inaccurate answers, it is recommended to examine the data carefully and identify any patterns or trends in the responses. You may also consider contacting the respondents to clarify their responses or provide additional information. Additionally, you can use statistical methods to identify and address outliers or other anomalies in the data.

Regards,

Uday Bhale

Yes, I agree with Uday Arun Bhale it is better to let the statistics decide on whether to eliminate outlier responses, especially if the data was collected anonymously.

No you should not exclude. Remember there are no right or wrong answers in research. Responses must be treated objectively.

Since you are working with open-ended questions, you could develop a coding system that specifies what kind of answers justify a Yes or No response to your filter question. That would allow you to exclude answers that do not match your specifications. Note that most of the above responses to do not take into account the availability of qualitative data to interpret your responses.

How confident are you in the precision and clarity of the question?

The main reason why I believe the questions are sufficiently clear is that most participants answered in the way which indicates their understanding of the content and context of what I asked. In fact, I started having doubts about the relevance of some responses through the preliminary analysis; I have noticed that some of the answers are incoherent or illogical. (In my original post above I used an abbreviated version of the question for brevity.)