In small communities especially, because your respondents are unable to read and write, you as the researcher administer the questionnaire to them by reading, explaining to them and then capturing the answers. In the situation where you have a sample size of 200. How best must you go about it to avoid data saturation. I.E not prempting the answers for then when you become so familiar with situation on the ground?
Saturation is a tool used for ensuring that adequate and quality data are collected to support the study. Saturation is frequently reported in qualitative research and may be the gold standard. However, the use of saturation within methods has varied. The best is to get research assistants.
Indeed, as expertly suggested by Dr. Harry, research assistants is always the sure bet for large samples to handcuff data saturation.
This is a great case of concern, during the oral facilitation of questionnaires for data collection.
Yes, the enumerator can bias the outcome. Further when such application in community happens, and during the process-pace picks up time, even the "awaiting" respondents may know the questions that are being asked.
If the those awaiting are clear in their thinking, can mentally prepare themselves to answer their mind, during their turn. External sources(which perceives an outcome of data collection would ultimately affect them) can also appeal by divertory influence and tailor the thinking process in those awaiting to be guided to answer in a particular fashion.
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