When I've asked a teacher (in the past) about how could I handle, in a survey with simple random sampling, the participants I couldn't reach for some reason, he told me that I could use a pre established "replacement procedure" (and by replacement, he doesn't mean the usual concept of selecting the same individual more than once).
According to him, I could (prior to the survey) state that, for instance, non-respondents (after applying some criteria), could be disregarded and replaced by some new randomly assigned population member. So, if I prior design some strict procedure for that, the sampling wouldn't be biased by nonresponse - or would be less biased, at least.
So here's my question: Is there any literature and/or reasonable foundations supporting this method? What are the main advantages and drawbacks of this approach? And what are the other alternatives?
Considering that I have rich prior information about the population members, does it change anything in the approach choice for mitigating nonresponse?
- Reframed question after comment and further reading.
- "New randomly assigned respondent" was misexpressing what I've meant, giving the idea of replacement using another respondent's response! "New randomly assigned population member" better expresses my question, that is selecting a new random participant.