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If questionnaire's goal is to discover "Why don't students respond", then you could repeatedly random sample 120 students until, by chance, they all respond Yo
by tsegratis 4y ago
If questionnaire's goal is to discover "Why don't students respond", then you could repeatedly random sample 120 students until, by chance, they all respond
You'd then have a lot of student data, but it is completely skewed
Solution is to stop doing statistics
- zevenda 4y agoThe questionnaire is about "student life, academics, and athletics".
- tsegratis 4y agoSo "Are students academic enough to understand this questionnaire, or wheelchair bound to stop them posting responses?" The skew still stands A meta point is it is probably impossible to remove bias EDIT: sorry, didn't see you're the person I replied to. I think you made a very good choice -- in the face of the unknown, increasing sample size and attempting to make it unbiased is possibly the best step
- bqmjjx0kac 4y agoThis seems like it introduces another flavor of selection bias. You're still selecting a sample composed of people who respond and ignoring those who don't. I don't have a better answer, though.